Policy Learning

Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems AISTATS 2015 Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach RSS 2015 Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret ICML 2015 Sample Complexity Bounds for Iterative Stochastic Policy Optimization NeurIPS 2015 Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning NeurIPS 2015 Sample Efficient Path Integral Control under Uncertainty NeurIPS 2015 Shared Autonomy via Hindsight Optimization RSS 2015 Thompson Sampling for Learning Parameterized Markov Decision Processes COLT 2015 Trust Region Policy Optimization ICML 2015 Active Contextual Policy Search JMLR 2014 Algorithms for CVaR Optimization in MDPs NeurIPS 2014 A new Q(lambda) with interim forward view and Monte Carlo equivalence ICML 2014 Approximate Policy Iteration Schemes: A Comparison ICML 2014 Bayes-Adaptive Simulation-based Search with Value Function Approximation NeurIPS 2014 Cover Tree Bayesian Reinforcement Learning JMLR 2014 Deterministic Policy Gradient Algorithms ICML 2014 Dynamic Programming Boosting for Discriminative Macro-Action Discovery ICML 2014 Learning Complex Neural Network Policies with Trajectory Optimization ICML 2014 Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics NeurIPS 2014 Linear Programming for Large-Scale Markov Decision Problems ICML 2014 Multi-Objective Reinforcement Learning using Sets of Pareto Dominating Policies JMLR 2014 Near-optimal Reinforcement Learning in Factored MDPs NeurIPS 2014 Online Multi-Task Learning for Policy Gradient Methods ICML 2014 Online Stochastic Optimization under Correlated Bandit Feedback ICML 2014 Optimizing Energy Production Using Policy Search and Predictive State Representations NeurIPS 2014