| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Kyle Beltran Hatch, Benjamin Eysenbach, Rafael Rafailov, Tianhe Yu, Ruslan Salakhutdinov, Sergey Levine, Chelsea Finn |
Contrastive Example-Based Control.  |
L4DC  |
2023 |
DBLP BibTeX RDF |
|
| 1 | Han Wang 0016, Leonardo Felipe Toso, James Anderson 0001 |
FedSysID: A Federated Approach to Sample-Efficient System Identification. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sydney Dolan, Siddharth Nayak, Hamsa Balakrishnan |
Satellite Navigation and Coordination with Limited Information Sharing. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xinyi Chen, Edgar Minasyan, Jason D. Lee, Elad Hazan |
Regret Guarantees for Online Deep Control. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Srinath Tankasala, Mitch Pryor |
Accelerating Trajectory Generation for Quadrotors Using Transformers. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Guanru Pan, Ruchuan Ou, Timm Faulwasser |
Data-driven Stochastic Output-Feedback Predictive Control: Recursive Feasibility through Interpolated Initial Conditions. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sourya Dey, Eric William Davis |
DLKoopman: A deep learning software package for Koopman theory. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yuyang Zhang, Runyu Zhang, Yuantao Gu, Na Li 0002 |
Multi-Agent Reinforcement Learning with Reward Delays. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Alessio Russo |
Analysis and Detectability of Offline Data Poisoning Attacks on Linear Dynamical Systems. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yingying Li, James A. Preiss, Na Li 0002, Yiheng Lin, Adam Wierman, Jeff S. Shamma |
Online switching control with stability and regret guarantees. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sampada Deglurkar, Michael H. Lim, Johnathan Tucker, Zachary N. Sunberg, Aleksandra Faust, Claire J. Tomlin |
Compositional Learning-based Planning for Vision POMDPs. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sarper Aydin, Ceyhun Eksin |
Policy Gradient Play with Networked Agents in Markov Potential Games. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers |
Data-driven memory-dependent abstractions of dynamical systems. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tobias Enders, James Harrison, Marco Pavone 0001, Maximilian Schiffer |
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Michelle Guo, Yifeng Jiang 0002, Andrew Everett Spielberg, Jiajun Wu 0001, C. Karen Liu |
Benchmarking Rigid Body Contact Models. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Patricia Pauli, Dennis Gramlich, Frank Allgöwer |
Lipschitz constant estimation for 1D convolutional neural networks. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhaolin Ren, Yang Zheng 0001, Maryam Fazel, Na Li 0002 |
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Alex Devonport, Peter Seiler 0001, Murat Arcak |
Frequency Domain Gaussian Process Models for H∞ Uncertainties. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Fernando Castañeda, Haruki Nishimura, Rowan Thomas McAllister, Koushil Sreenath, Adrien Gaidon |
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tanya Veeravalli, Maxim Raginsky |
Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yuxiang Yang, Xiangyun Meng, Wenhao Yu 0003, Tingnan Zhang, Jie Tan, Byron Boots |
Continuous Versatile Jumping Using Learned Action Residuals. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | SooJean Han, Soon-Jo Chung, Johanna Gustafson |
Congestion Control of Vehicle Traffic Networks by Learning Structural and Temporal Patterns. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Muhammad Abdullah Naeem, Miroslav Pajic |
Transportation-Inequalities, Lyapunov Stability and Sampling for Dynamical Systems on Continuous State Space. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Spencer Hutchinson, Berkay Turan, Mahnoosh Alizadeh |
The Impact of the Geometric Properties of the Constraint Set in Safe Optimization with Bandit Feedback. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tejas Pagare, Vivek S. Borkar, Konstantin Avrachenkov |
Full Gradient Deep Reinforcement Learning for Average-Reward Criterion. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kehan Long, Yinzhuang Yi, Jorge Cortés 0001, Nikolay Atanasov 0001 |
Distributionally Robust Lyapunov Function Search Under Uncertainty. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Paula Gradu, Elad Hazan, Edgar Minasyan |
Adaptive Regret for Control of Time-Varying Dynamics. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Anushri Dixit, Lars Lindemann, Skylar X. Wei, Matthew Cleaveland, George J. Pappas, Joel W. Burdick |
Adaptive Conformal Prediction for Motion Planning among Dynamic Agents. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Elie Aljalbout, Maximilian Karl, Patrick van der Smagt |
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tong Guanchun, Michael Muehlebach |
A Dynamical Systems Perspective on Discrete Optimization. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Songyuan Zhang, Yumeng Xiu, Guannan Qu, Chuchu Fan |
Compositional Neural Certificates for Networked Dynamical Systems. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Keyan Miao, Konstantinos Gatsis |
Learning Robust State Observers using Neural ODEs. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Luke Bhan, Yuanyuan Shi, Miroslav Krstic |
Operator Learning for Nonlinear Adaptive Control. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Armand Comas Massague, Christian Fernandez Lopez, Sandesh Ghimire, Haolin Li, Mario Sznaier, Octavia I. Camps |
Learning Object-Centric Dynamic Modes from Video and Emerging Properties. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hancheng Min, Enrique Mallada |
Learning Coherent Clusters in Weakly-Connected Network Systems. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Saminda Abeyruwan, Alex Bewley, Nicholas Matthew Boffi, Krzysztof Marcin Choromanski, David B. D'Ambrosio, Deepali Jain, Pannag R. Sanketi, Anish Shankar, Vikas Sindhwani, Sumeet Singh, Jean-Jacques E. Slotine, Stephen Tu |
Agile Catching with Whole-Body MPC and Blackbox Policy Learning. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sophia Huiwen Sun, Robin Walters 0001, Jinxi Li, Rose Yu |
Probabilistic Symmetry for Multi-Agent Dynamics. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Orhan Eren Akgün, Arif Kerem Dayi, Stephanie Gil, Angelia Nedich |
Learning Trust Over Directed Graphs in Multiagent Systems. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang 0001, Mihailo R. Jovanovic |
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Antoine Leeman, Johannes Köhler, Samir Bennani, Melanie N. Zeilinger |
Predictive safety filter using system level synthesis. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Swaminathan Gurumurthy, J. Zico Kolter, Zachary Manchester |
Deep Off-Policy Iterative Learning Control. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xiyu Deng, Christian Kurniawan, Adhiraj Chakraborty, Assane Gueye, Niangjun Chen, Yorie Nakahira |
A Learning and Control Perspective for Microfinance. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Luigi Campanaro, Daniele De Martini, Siddhant Gangapurwala, Wolfgang Merkt, Ioannis Havoutis |
Roll-Drop: accounting for observation noise with a single parameter. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yaqi Duan, Martin J. Wainwright |
A finite-sample analysis of multi-step temporal difference estimates. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yikun Cheng, Pan Zhao, Naira Hovakimyan |
Safe and Efficient Reinforcement Learning using Disturbance-Observer-Based Control Barrier Functions. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tsun-Hsuan Wang, Wei Xiao 0003, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus |
Learning Stability Attention in Vision-based End-to-end Driving Policies. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Guillaume O. Berger, Sriram Sankaranarayanan 0001 |
Template-Based Piecewise Affine Regression. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Wenliang Liu, Kevin Leahy 0001, Zachary Serlin, Calin Belta |
CatlNet: Learning Communication and Coordination Policies from CaTL+ Specifications. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xu Zhang, Marcos M. Vasconcelos |
Top-k data selection via distributed sample quantile inference. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Lauren E. Conger, Sydney Vernon, Eric Mazumdar |
Designing System Level Synthesis Controllers for Nonlinear Systems with Stability Guarantees. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Alireza Farahmandi, Brian C. Reitz, Mark J. Debord, Douglas Philbrick, Katia Estabridis, Gary A. Hewer |
Hyperparameter Tuning of an Off-Policy Reinforcement Learning Algorithm for H∞ Tracking Control. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zifan Wang, Yulong Gao, Siyi Wang, Michael M. Zavlanos, Alessandro Abate, Karl Henrik Johansson |
Policy Evaluation in Distributional LQR. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ian Char, Joseph Abbate, Laszlo Bardoczi, Mark D. Boyer, Youngseog Chung, Rory Conlin, Keith Erickson, Viraj Mehta, Nathan Richner, Egemen Kolemen, Jeff G. Schneider |
Offline Model-Based Reinforcement Learning for Tokamak Control. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Prithvi Akella, Skylar X. Wei, Joel W. Burdick, Aaron D. Ames |
Learning Disturbances Online for Risk-Aware Control: Risk-Aware Flight with Less Than One Minute of Data. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Aritra Mitra, Hamed Hassani, George J. Pappas |
Linear Stochastic Bandits over a Bit-Constrained Channel. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Bilgehan Sel, Ahmad Al-Tawaha, Yuhao Ding, Ruoxi Jia 0001, Bo Ji 0001, Javad Lavaei, Ming Jin 0002 |
Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Gautam Goel, Naman Agarwal, Karan Singh, Elad Hazan |
Best of Both Worlds in Online Control: Competitive Ratio and Policy Regret. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Saber Jafarpour, Akash Harapanahalli, Samuel Coogan 0001 |
Interval Reachability of Nonlinear Dynamical Systems with Neural Network Controllers. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yashaswini Murthy, Mehrdad Moharrami, R. Srikant 0001 |
Modified Policy Iteration for Exponential Cost Risk Sensitive MDPs. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Lukas Kesper, Sebastian Trimpe, Dominik Baumann |
Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Daniel Tabas, Ahmed S. Zamzam, Baosen Zhang |
Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Thomas T. C. K. Zhang, Katie Kang, Bruce D. Lee, Claire J. Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni |
Multi-Task Imitation Learning for Linear Dynamical Systems. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tahiya Salam, Alice Kate Li, M. Ani Hsieh |
Online Estimation of the Koopman Operator Using Fourier Features. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Arnob Ghosh |
Provably Efficient Model-free RL in Leader-Follower MDP with Linear Function Approximation. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Thomas Beckers 0001, Qirui Wu, George J. Pappas |
Physics-enhanced Gaussian Process Variational Autoencoder. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Nick-Marios T. Kokolakis, Kyriakos G. Vamvoudakis, Wassim M. Haddad |
Reachability Analysis-based Safety-Critical Control using Online Fixed-Time Reinforcement Learning. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Paul Griffioen, Alex Devonport, Murat Arcak |
Probabilistic Invariance for Gaussian Process State Space Models. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kaiyuan Tan, Jun Wang 0135, Yiannis Kantaros |
Targeted Adversarial Attacks against Neural Network Trajectory Predictors. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Nikolai Matni, Manfred Morari, George J. Pappas (eds.) |
Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Panagiotis Vlantis, Leila Bridgeman, Michael M. Zavlanos |
Failing with Grace: Learning Neural Network Controllers that are Boundedly Unsafe. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Wenqi Cui, Linbin Huang, Weiwei Yang, Baosen Zhang |
Efficient Reinforcement Learning Through Trajectory Generation. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jan Achterhold, Philip Tobuschat, Hao Ma, Dieter Büchler, Michael Muehlebach, Joerg Stueckler |
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kai-Chieh Hsu, Duy Phuong Nguyen, Jaime Fernández Fisac |
ISAACS: Iterative Soft Adversarial Actor-Critic for Safety. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yitian Chen, Timothy L. Molloy, Tyler H. Summers, Iman Shames |
Regret Analysis of Online LQR Control via Trajectory Prediction and Tracking. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Harrison Delecki, Anthony Corso 0001, Mykel J. Kochenderfer |
Model-based Validation as Probabilistic Inference. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kwangjun Ahn, Zakaria Mhammedi, Horia Mania, Zhang-Wei Hong, Ali Jadbabaie |
Model Predictive Control via On-Policy Imitation Learning. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Majid Khadiv, Avadesh Meduri, Huaijiang Zhu, Ludovic Righetti, Bernhard Schölkopf |
Learning Locomotion Skills from MPC in Sensor Space. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sheng Cheng, Lin Song, Minkyung Kim 0011, Shenlong Wang, Naira Hovakimyan |
DiffTune+: Hyperparameter-Free Auto-Tuning using Auto-Differentiation. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Cyrus Neary, Ufuk Topcu |
Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yan Jiang, Wenqi Cui, Baosen Zhang, Jorge Cortés 0001 |
Equilibria of Fully Decentralized Learning in Networked Systems. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kong Yao Chee, M. Ani Hsieh, Nikolai Matni |
Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Rajiv Sambharya, Georgina Hall, Brandon Amos, Bartolomeo Stellato |
End-to-End Learning to Warm-Start for Real-Time Quadratic Optimization. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Rahel Rickenbach, Elena Arcari, Melanie N. Zeilinger |
Time Dependent Inverse Optimal Control using Trigonometric Basis Functions. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhuoyuan Wang, Yorie Nakahira |
A Generalizable Physics-informed Learning Framework for Risk Probability Estimation. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | An T. Le 0001, Kay Hansel, Jan Peters 0001, Georgia Chalvatzaki |
Hierarchical Policy Blending As Optimal Transport. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Reza Khodayi-mehr, Pingcheng Jian, Michael M. Zavlanos |
Physics-Guided Active Learning of Environmental Flow Fields. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Leilei Cui 0002, Tamer Basar, Zhong-Ping Jiang |
A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yi Tian, Kaiqing Zhang, Russ Tedrake, Suvrit Sra |
Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control? |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zihao Zhou, Rose Yu |
Automatic Integration for Fast and Interpretable Neural Point Processes. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Bence Zsombor Hadlaczky, Noémi Friedman, Béla Takarics, Bálint Vanek |
Wing shape estimation with Extended Kalman filtering and KalmanNet neural network of a flexible wing aircraft. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Killian Reed Wood, Emiliano Dall'Anese |
Online Saddle Point Tracking with Decision-Dependent Data. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Erfan Aasi, Mingyu Cai, Cristian Ioan Vasile, Calin Belta |
Time-Incremental Learning of Temporal Logic Classifiers Using Decision Trees. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Serban Sabau, Yifei Zhang, Sourav Kumar Ukil |
Sample Complexity Bound for Evaluating the Robust Observer's Performance under Coprime Factors Uncertainty. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Muhammad Abdullah Naeem |
Concentration Phenomenon for Random Dynamical Systems: An Operator Theoretic Approach. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Weiye Zhao, Tairan He, Changliu Liu |
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Swaminathan Gurumurthy, Zachary Manchester, J. Zico Kolter |
Practical Critic Gradient based Actor Critic for On-Policy Reinforcement Learning. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yue Meng, Chuchu Fan |
Hybrid Systems Neural Control with Region-of-Attraction Planner. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kaustubh Sridhar, Souradeep Dutta, James Weimer, Insup Lee 0001 |
Guaranteed Conformance of Neurosymbolic Models to Natural Constraints. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Doumitrou Daniil Nimara, Mohammadreza Malek-Mohammadi, Petter Ögren, Jieqiang Wei, Vincent Huang 0002 |
Model-Based Reinforcement Learning for Cavity Filter Tuning. |
L4DC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yaofeng Desmond Zhong, Jiequn Han, Biswadip Dey, Georgia Olympia Brikis |
Improving Gradient Computation for Differentiable Physics Simulation with Contacts. |
L4DC |
2023 |
DBLP BibTeX RDF |
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