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ICRA
2008
IEEE
113views Robotics» more  ICRA 2008»
14 years 1 months ago
Reinforcement learning with function approximation for cooperative navigation tasks
— In this paper, we propose a reinforcement learning approach to address multi-robot cooperative navigation tasks in infinite settings. We propose an algorithm to simultaneously...
Francisco S. Melo, M. Isabel Ribeiro
ECAI
2010
Springer
13 years 8 months ago
The Dynamics of Multi-Agent Reinforcement Learning
Abstract. Infinite-horizon multi-agent control processes with nondeterminism and partial state knowledge have particularly interesting properties with respect to adaptive control, ...
Luke Dickens, Krysia Broda, Alessandra Russo
ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
14 years 1 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
UAI
2001
13 years 8 months ago
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning
There exist a number of reinforcement learning algorithms which learn by climbing the gradient of expected reward. Their long-run convergence has been proved, even in partially ob...
Lex Weaver, Nigel Tao
AIMSA
2004
Springer
13 years 11 months ago
Towards Well-Defined Multi-agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) is an emerging area of research. However, it lacks two important elements: a coherent view on MARL, and a well-defined problem objective. ...
Rinat Khoussainov