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Reinforcement Learning › Methods ›

Policy Learning

2,076 papers

Papers per year

23
23
216
153
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Papers

Adaptive Step-Size for Policy Gradient Methods NIPS 2013
Learning from Limited Demonstrations NIPS 2013
Q-learning for history-based reinforcement learning ACML 2013
Average Reward Optimization Objective In Partially Observable Domains ICML 2013
Learning an Internal Dynamics Model from Control Demonstration ICML 2013
Guided Policy Search ICML 2013
Safe Policy Iteration ICML 2013
Temporal Difference Methods for the Variance of the Reward To Go ICML 2013
ABC Reinforcement Learning ICML 2013
Performance Bounds for λ Policy Iteration and Application to the Game of Tetris JMLR 2013
Integrated Perception and Planning in the Continuous Space: A POMDP Approach RSS 2013
Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NIPS 2012
A Bayesian Approach for Policy Learning from Trajectory Preference Queries NIPS 2012
A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes NIPS 2012
On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NIPS 2012
Imitation Learning by Coaching NIPS 2012
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NIPS 2012
Learning Partially Observable Models Using Temporally Abstract Decision Trees NIPS 2012
Neurally Plausible Reinforcement Learning of Working Memory Tasks NIPS 2012
Inverse Reinforcement Learning through Structured Classification NIPS 2012
Bayesian Hierarchical Reinforcement Learning NIPS 2012
On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes NIPS 2012
Algorithms for Learning Markov Field Policies NIPS 2012
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems NIPS 2012
Tractable Objectives for Robust Policy Optimization NIPS 2012