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Reinforcement Learning › Methods ›

Policy Learning

2,076 papers

Papers per year

23
23
216
153
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Papers

Robustness and risk-sensitivity in Markov decision processes NIPS 2012
Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NIPS 2012
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning NIPS 2012
Weighted Likelihood Policy Search with Model Selection NIPS 2012
Hierarchical Relative Entropy Policy Search AISTATS 2012
Autonomous Exploration For Navigating In MDPs COLT 2012
Integrating a Partial Model into Model Free Reinforcement Learning JMLR 2012
Finite-Sample Analysis of Least-Squares Policy Iteration JMLR 2012
Dynamic Policy Programming JMLR 2012
Formalizing Assistive Teleoperation RSS 2012
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference RSS 2012
Action-Gap Phenomenon in Reinforcement Learning NIPS 2011
MAP Inference for Bayesian Inverse Reinforcement Learning NIPS 2011
A Non-Parametric Approach to Dynamic Programming NIPS 2011
Analysis and Improvement of Policy Gradient Estimation NIPS 2011
Speedy Q-Learning NIPS 2011
Nonlinear Inverse Reinforcement Learning with Gaussian Processes NIPS 2011
A reinterpretation of the policy oscillation phenomenon in approximate policy iteration NIPS 2011
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery NIPS 2011
Optimal Reinforcement Learning for Gaussian Systems NIPS 2011
Monte Carlo Value Iteration with Macro-Actions NIPS 2011
The Fixed Points of Off-Policy TD NIPS 2011
Improving Policy Gradient Estimates with Influence Information ACML 2011
Relative Entropy Inverse Reinforcement Learning AISTATS 2011
A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes JMLR 2011