340 search results - page 30 / 68 » Kernelized value function approximation for reinforcement le... |
139
Voted
ATAL
2008
Springer
15 years 4 months ago
2008
Springer
The problem of coalition formation when agents are uncertain about the types or capabilities of their potential partners is a critical one. In [3] a Bayesian reinforcement learnin...
112
Voted
ICML
2002
IEEE
16 years 3 months ago
2002
IEEE
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
115
Voted
NIPS
2000
15 years 3 months ago
2000
The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
107
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ECAI
2008
Springer
15 years 4 months ago
2008
Springer
In this paper, we propose a policy gradient reinforcement learning algorithm to address transition-independent Dec-POMDPs. This approach aims at implicitly exploiting the locality...
128
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IJCAI
2007
15 years 4 months ago
2007
We explore an application to the game of Go of a reinforcement learning approach based on a linear evaluation function and large numbers of binary features. This strategy has prov...