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Reinforcement Learning › Methods ›

Policy Learning

2,076 papers

Papers per year

23
23
216
153
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Papers

Incremental Natural Actor-Critic Algorithms NIPS 2007
Random Sampling of States in Dynamic Programming NIPS 2007
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity NIPS 2007
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs NIPS 2007
Fitted Q-iteration in continuous action-space MDPs NIPS 2007
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes JMLR 2007
Hierarchical Average Reward Reinforcement Learning JMLR 2007
Learning Nonparametric Models for Probabilistic Imitation NIPS 2006
Bayesian Policy Gradient Algorithms NIPS 2006
iLSTD: Eligibility Traces and Convergence Analysis NIPS 2006
Natural Actor-Critic for Road Traffic Optimisation NIPS 2006
An Application of Reinforcement Learning to Aerobatic Helicopter Flight NIPS 2006
Linearly-solvable Markov decision problems NIPS 2006
Sample Complexity of Policy Search with Known Dynamics NIPS 2006
Boosting Structured Prediction for Imitation Learning NIPS 2006
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation JMLR 2006
Policy Gradient in Continuous Time JMLR 2006
Learning Operational Space Control RSS 2006
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning JMLR 2004
Least-Squares Policy Iteration JMLR 2003
On the Convergence of Optimistic Policy Iteration JMLR 2002
ε-MDPs: Learning in Varying Environments JMLR 2002
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning JMLR 2002
Using Confidence Bounds for Exploitation-Exploration Trade-offs JMLR 2002
Lyapunov Design for Safe Reinforcement Learning JMLR 2002