Policy Learning

PAC-inspired Option Discovery in Lifelong Reinforcement Learning ICML 2014 Policy Evaluation with Temporal Differences: A Survey and Comparison JMLR 2014 Pre- and Post-Contact Policy Decomposition for Planar Contact Manipulation Under Uncertainty RSS 2014 Probabilistic Differential Dynamic Programming NeurIPS 2014 Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints RSS 2014 Sparse Reinforcement Learning via Convex Optimization ICML 2014 Time-Regularized Interrupting Options (TRIO) ICML 2014 Tracking Adversarial Targets ICML 2014 Universal Option Models NeurIPS 2014 Using Trajectory Data to Improve Bayesian Optimization for Reinforcement Learning JMLR 2014 Weighted importance sampling for off-policy learning with linear function approximation NeurIPS 2014 ABC Reinforcement Learning ICML 2013 Actor-Critic Algorithms for Risk-Sensitive MDPs NeurIPS 2013 Adaptive Step-Size for Policy Gradient Methods NeurIPS 2013 Approximate Dynamic Programming Finally Performs Well in the Game of Tetris NeurIPS 2013 Average Reward Optimization Objective In Partially Observable Domains ICML 2013 DESPOT: Online POMDP Planning with Regularization NeurIPS 2013 Efficient Exploration and Value Function Generalization in Deterministic Systems NeurIPS 2013 Guided Policy Search ICML 2013 Improved and Generalized Upper Bounds on the Complexity of Policy Iteration NeurIPS 2013 Integrated Perception and Planning in the Continuous Space: A POMDP Approach RSS 2013 Learning an Internal Dynamics Model from Control Demonstration ICML 2013 Learning from Limited Demonstrations NeurIPS 2013 (More) Efficient Reinforcement Learning via Posterior Sampling NeurIPS 2013 Online learning in episodic Markovian decision processes by relative entropy policy search NeurIPS 2013