651 search results - page 82 / 131 » Algorithms for Inverse Reinforcement Learning |
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
In this paper we consider the problem of policy evaluation in reinforcement learning, i.e., learning the value function of a fixed policy, using the least-squares temporal-differe...
106
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FUN
2010
Springer
15 years 2 months ago
2010
Springer
We propose a model for level-ups in Heroes of Might and Magic III, and give an O 1 ε2 ln 1 δ learning algorithm to estimate the probabilities of secondary skills induced by any ...
ATAL
2008
Springer
14 years 11 months ago
2008
Springer
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
AUSAI
2008
Springer
14 years 11 months ago
2008
Springer
Learning Classifier System (LCS) is an effective tool to solve classification problems. Clustering with XCS (accuracy-based LCS) is a novel approach proposed recently. In this pape...
NIPS
2007
14 years 11 months ago
2007
Recently, we have introduced a novel approach to dynamic programming and reinforcement learning that is based on maintaining explicit representations of stationary distributions i...