827 search results - page 7 / 166 » Variational methods for Reinforcement Learning |
134
Voted
IJCAI
2001
15 years 3 months ago
2001
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
113
Voted
NIPS
2001
15 years 3 months ago
2001
This paper presents reinforcement learning with a Long ShortTerm Memory recurrent neural network: RL-LSTM. Model-free RL-LSTM using Advantage learning and directed exploration can...
122
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ICMLA
2003
15 years 3 months ago
2003
— This paper shows that the distributed representation found in Learning Vector Quantization (LVQ) enables reinforcement learning methods to cope with a large decision search spa...
116
Voted
PKDD
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
119
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KES
2004
Springer
15 years 7 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 ...