449 search results - page 16 / 90 » Finding Structure in Reinforcement Learning |
134
Voted
IJCAI
2007
15 years 5 months ago
2007
We present a reinforcement learning game player that can interact with a General Game Playing system and transfer knowledge learned in one game to expedite learning in many other ...
137
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FLAIRS
2004
15 years 4 months ago
2004
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...
117
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ATAL
2006
Springer
15 years 7 months ago
2006
Springer
We contribute Policy Reuse as a technique to improve a reinforcement learning agent with guidance from past learned similar policies. Our method relies on using the past policies ...
140
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
160
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AAAI
2011
14 years 3 months ago
2011
In many multi-agent applications such as distributed sensor nets, a network of agents act collaboratively under uncertainty and local interactions. Networked Distributed POMDP (ND...