1233 search results - page 95 / 247 » Reinforcement Learning in MirrorBot |
141
Voted
ROBOCUP
2007
Springer
15 years 9 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
129
Voted
KES
2004
Springer
15 years 9 months ago
2004
Springer
This paper presents a novel method for on-line coordination in multiagent reinforcement learning systems. In this method a reinforcement-learning agent learns to select its action ...
113
Voted
PRICAI
2000
Springer
15 years 7 months ago
2000
Springer
When we construct an agent by integrating modules, there appear troubles concerning the autonomy of the agent if we introduce a heuristics that dominates the whole agent. Thus, we ...
133
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AAAI
2010
15 years 5 months ago
2010
Policy search is a successful approach to reinforcement learning. However, policy improvements often result in the loss of information. Hence, it has been marred by premature conv...
150
Voted
ICAC
2009
IEEE
15 years 1 months ago
2009
IEEE
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...