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Reinforcement Learning › Methods ›

Policy Learning

2,076 papers

Papers per year

23
23
216
153
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Papers

Exploiting Best-Match Equations for Efficient Reinforcement Learning JMLR 2011
Double Q-learning NIPS 2010
Reward Design via Online Gradient Ascent NIPS 2010
Distributionally Robust Markov Decision Processes NIPS 2010
Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories NIPS 2010
Predictive State Temporal Difference Learning NIPS 2010
On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient NIPS 2010
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks NIPS 2010
Bootstrapping Apprenticeship Learning NIPS 2010
A Reduction from Apprenticeship Learning to Classification NIPS 2010
Error Propagation for Approximate Policy and Value Iteration NIPS 2010
A POMDP Extension with Belief-dependent Rewards NIPS 2010
Policy gradients in linearly-solvable MDPs NIPS 2010
Linear Complementarity for Regularized Policy Evaluation and Improvement NIPS 2010
Feature Construction for Inverse Reinforcement Learning NIPS 2010
Nonparametric Bayesian Policy Priors for Reinforcement Learning NIPS 2010
Adaptive Step-size Policy Gradients with Average Reward Metric ACML 2010
Model-Free Monte Carlo-like Policy Evaluation AISTATS 2010
Efficient Reductions for Imitation Learning AISTATS 2010
Learning Policy Improvements with Path Integrals AISTATS 2010
A Convergent Online Single Time Scale Actor Critic Algorithm JMLR 2010
A Generalized Path Integral Control Approach to Reinforcement Learning JMLR 2010
Reinforcement Learning to adjust Robot Movements to New Situations RSS 2010
Variable Impedance Control - A Reinforcement Learning Approach RSS 2010
Code-specific policy gradient rules for spiking neurons NIPS 2009