reinforcement learning

Anytime optimal algorithms in stochastic multi-armed bandits ICML 2016 A PAC RL Algorithm for Episodic POMDPs AISTATS 2016 Black-Box Policy Search with Probabilistic Programs AISTATS 2016 Combined Optimization and Reinforcement Learning for Manipulation Skills RSS 2016 Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning ICML 2016 Deep Exploration via Bootstrapped DQN NeurIPS 2016 Differentially Private Policy Evaluation ICML 2016 Dual Learning for Machine Translation NeurIPS 2016 End-to-End Goal-Driven Web Navigation NeurIPS 2016 End-To-End Learning of Action Detection From Frame Glimpses in Videos CVPR 2016 Generalization and Exploration via Randomized Value Functions ICML 2016 Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization ICML 2016 Hierarchical Decision Making In Electricity Grid Management ICML 2016 Hierarchical Relative Entropy Policy Search JMLR 2016 Improving PAC Exploration Using the Median Of Means NeurIPS 2016 Learning Multiagent Communication with Backpropagation NeurIPS 2016 Learning Simple Algorithms from Examples ICML 2016 Learning under uncertainty: a comparison between R-W and Bayesian approach NeurIPS 2016 Near Optimal Behavior via Approximate State Abstraction ICML 2016 On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games AISTATS 2016 PAC Reinforcement Learning with Rich Observations NeurIPS 2016 Recurrent Attention Models for Depth-Based Person Identification CVPR 2016 Regularized Policy Iteration with Nonparametric Function Spaces JMLR 2016 Reinforcement Learning for Visual Object Detection CVPR 2016 Safe and Efficient Off-Policy Reinforcement Learning NeurIPS 2016