← Methods
Reinforcement Learning › Methods ›

Policy Learning

2068 directly classified papers

Papers per year

Papers

Learning of Non-Parametric Control Policies with High-Dimensional State Features AISTATS 2015
Abstraction Selection in Model-based Reinforcement Learning ICML 2015
Shared Autonomy via Hindsight Optimization RSS 2015
Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach RSS 2015
Cover Tree Bayesian Reinforcement Learning JMLR 2014
Probabilistic Differential Dynamic Programming NIPS 2014
Universal Option Models NIPS 2014
Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints RSS 2014
Pre- and Post-Contact Policy Decomposition for Planar Contact Manipulation Under Uncertainty RSS 2014
Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics NIPS 2014
Optimizing Energy Production Using Policy Search and Predictive State Representations NIPS 2014
Bayes-Adaptive Simulation-based Search with Value Function Approximation NIPS 2014
Near-optimal Reinforcement Learning in Factored MDPs NIPS 2014
Dynamic Programming Boosting for Discriminative Macro-Action Discovery ICML 2014
Approximate Policy Iteration Schemes: A Comparison ICML 2014
Online Multi-Task Learning for Policy Gradient Methods ICML 2014
A new Q(lambda) with interim forward view and Monte Carlo equivalence ICML 2014
PAC-inspired Option Discovery in Lifelong Reinforcement Learning ICML 2014
Using Trajectory Data to Improve Bayesian Optimization for Reinforcement Learning JMLR 2014
Policy Evaluation with Temporal Differences: A Survey and Comparison JMLR 2014
Active Contextual Policy Search JMLR 2014
Multi-Objective Reinforcement Learning using Sets of Pareto Dominating Policies JMLR 2014
Tracking Adversarial Targets ICML 2014
Learning Complex Neural Network Policies with Trajectory Optimization ICML 2014
Sparse Reinforcement Learning via Convex Optimization ICML 2014