250 search results - page 43 / 50 » Learning action effects in partially observable domains |
IROS
2008
IEEE
15 years 6 months ago
2008
IEEE
Abstract— As robots become more commonplace within society, the need for tools to enable non-robotics-experts to develop control algorithms, or policies, will increase. Learning ...
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PROMAS
2004
Springer
15 years 5 months ago
2004
Springer
Distributed partially observable Markov decision problems (POMDPs) have emerged as a popular decision-theoretic approach for planning for multiagent teams, where it is imperative f...
AGENTS
1999
Springer
15 years 4 months ago
1999
Springer
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
CORR
2010
Springer
14 years 11 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
OOPSLA
2007
Springer
15 years 5 months ago
2007
Springer
Custom House's new currency exchange system is integrated with a legacy system. After a few years of growth, the two systems were so intricately tangled that even small chang...