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Policy Learning

2068 directly classified papers

Papers per year

Papers

Symbolic Opportunistic Policy Iteration for Factored-Action MDPs NIPS 2013
Optimistic policy iteration and natural actor-critic: A unifying view and a non-optimality result NIPS 2013
Projected Natural Actor-Critic NIPS 2013
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NIPS 2012
Dynamic Policy Programming JMLR 2012
A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes NIPS 2012
Hierarchical Relative Entropy Policy Search AISTATS 2012
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference RSS 2012
Autonomous Exploration For Navigating In MDPs COLT 2012
Formalizing Assistive Teleoperation RSS 2012
A Bayesian Approach for Policy Learning from Trajectory Preference Queries NIPS 2012
Learning Partially Observable Models Using Temporally Abstract Decision Trees NIPS 2012
Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NIPS 2012
Neurally Plausible Reinforcement Learning of Working Memory Tasks NIPS 2012
Imitation Learning by Coaching NIPS 2012
Algorithms for Learning Markov Field Policies NIPS 2012
Robustness and risk-sensitivity in Markov decision processes NIPS 2012
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems NIPS 2012
Bayesian Hierarchical Reinforcement Learning NIPS 2012
Inverse Reinforcement Learning through Structured Classification NIPS 2012
Tractable Objectives for Robust Policy Optimization NIPS 2012
Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NIPS 2012
Integrating a Partial Model into Model Free Reinforcement Learning JMLR 2012
On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NIPS 2012
Weighted Likelihood Policy Search with Model Selection NIPS 2012