Search results for "MAXQ"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
194	Jing Shen, Guochang Gu, Haibo Liu	Multi-Agent Hierarchical Reinforcement Learning by Integrating Options into MAXQ.	IMSCCS (1)	2006	DBLP DOI BibTeX RDF	MAXQ, Options, hierarchical reinforcement learning, multi-agent reinforcement learning
107	Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamzadeh	Hierarchical multi-agent reinforcement learning.	Agents	2001	DBLP DOI BibTeX RDF
86	Erik J. Dries, Gilbert L. Peterson	Scaling ant colony optimization with hierarchical reinforcement learning partitioning.	GECCO	2008	DBLP DOI BibTeX RDF	swarm intelligence, ant colony optimization, hierarchical reinforcement learning
86	Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen	Evolutionary Development of Hierarchical Learning Structures.	IEEE Trans. Evol. Comput.	2007	DBLP DOI BibTeX RDF
86	Jing Shen, Haibo Liu, Guochang Gu	Hierarchical Reinforcement Learning with OMQ.	IEEE ICCI	2006	DBLP DOI BibTeX RDF
54	Neville Mehta, Soumya Ray, Prasad Tadepalli, Thomas G. Dietterich	Automatic discovery and transfer of MAXQ hierarchies.	ICML	2008	DBLP DOI BibTeX RDF
54	Thomas G. Dietterich	An Overview of MAXQ Hierarchical Reinforcement Learning.	SARA	2000	DBLP DOI BibTeX RDF
43	Nicholas K. Jong, Peter Stone	Compositional Models for Reinforcement Learning.	ECML/PKDD (1)	2009	DBLP DOI BibTeX RDF
33	Tao Wang 0042, Benjamin W. Wah	Efficient and adaptive Lagrange-multiplier methods for continuous nonlinear optimization.	SAC	1998	DBLP DOI BibTeX RDF	Lagrange multiplier method, MaxQ method, dynamic weighting, global optimization, inequality constraint
32	Jingyang Xiang, Siqi Li, Junhao Chen, Zhuangzhi Chen, Tianxin Huang, Linpeng Peng, Yong Liu 0007	MaxQ: Multi-Axis Query for N: M Sparsity Network.	CoRR	2023	DBLP DOI BibTeX RDF
32	Qi Zhang 0017, Lin Sun 0008, Peng Jiao, Quanjun Yin	Combining behavior trees with MAXQ learning to facilitate CGFs behavior modeling.	ICSAI	2017	DBLP DOI BibTeX RDF
32	Kathrin Gräve, Sven Behnke	Bayesian exploration and interactive demonstration in continuous state MAXQ-learning.	ICRA	2014	DBLP DOI BibTeX RDF
32	Hao Tang, Wenjing Liu, Wenjuan Cheng, Lei Zhou	Continuous-time MAXQ Algorithm for Web Service Composition.	J. Softw.	2012	DBLP DOI BibTeX RDF
32	Aijun Bai, Feng Wu 0001, Xiaoping Chen	Online planning for large MDPs with MAXQ decomposition.	AAMAS	2012	DBLP BibTeX RDF
32	Hongbing Wang, Wenya Li, Xuan Zhou 0001	Automatic Discovery and Transfer of MAXQ Hierarchies in a Complex System.	ICTAI	2012	DBLP DOI BibTeX RDF
32	Thomas G. Dietterich	Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition.	J. Artif. Intell. Res.	2000	DBLP DOI BibTeX RDF
32	Thomas G. Dietterich	Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition	CoRR	1999	DBLP BibTeX RDF
32	Thomas G. Dietterich	State Abstraction in MAXQ Hierarchical Reinforcement Learning	CoRR	1999	DBLP BibTeX RDF
32	Thomas G. Dietterich	State Abstraction in MAXQ Hierarchical Reinforcement Learning.	NIPS	1999	DBLP BibTeX RDF
32	Thomas G. Dietterich	The MAXQ Method for Hierarchical Reinforcement Learning.	ICML	1998	DBLP BibTeX RDF
21	Xiaoqin Du, Qinghua Li, Jianjun Han	An Analysis and Hierarchical Decomposition for HAMs.	CSE (2)	2009	DBLP DOI BibTeX RDF
21	Chee Wee Phua, Robert Fitch	Tracking value function dynamics to improve reinforcement learning with piecewise linear function approximation.	ICML	2007	DBLP DOI BibTeX RDF
21	Carlos Diuk, Alexander L. Strehl, Michael L. Littman	A hierarchical approach to efficient reinforcement learning in deterministic domains.	AAMAS	2006	DBLP DOI BibTeX RDF	factored representations, reinforcement learning, hierarchical reinforcement learning, sample complexity
21	Huaxiang Zhang, Shangteng Huang	Merging Individually Learned Optimal Results to Accelerate Coordination.	WAIM	2004	DBLP DOI BibTeX RDF
21	Weidong Zhou, Richard J. Coggins	Biologically Inspired Reinforcement Learning: Reward-Based Decomposition for Multi-goal Environments.	BioADIT	2004	DBLP DOI BibTeX RDF