Methods

On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence ICML 2015 On the Rate of Convergence and Error Bounds for LSTD(λ) ICML 2015 Policy Evaluation Using the Ω-Return NeurIPS 2015 Policy Gradient for Coherent Risk Measures NeurIPS 2015 Policy Search for Multi-Robot Coordination under Uncertainty RSS 2015 Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems AISTATS 2015 Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation ACML 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 Toward Minimax Off-policy Value Estimation AISTATS 2015 Trust Region Policy Optimization ICML 2015 Universal Value Function Approximators ICML 2015 Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning NeurIPS 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 Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning NeurIPS 2014