250 search results - page 43 / 50 » Learning action effects in partially observable domains |
IROS
2008
IEEE
15 years 4 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 ...
103
Voted
PROMAS
2004
Springer
15 years 2 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 1 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 9 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 3 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...