Reinforcement Learning

Analysis of Classification-based Policy Iteration Algorithms JMLR 2016 An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning JMLR 2016 A PAC RL Algorithm for Episodic POMDPs AISTATS 2016 Approximate Newton Methods for Policy Search in Markov Decision Processes JMLR 2016 A Probabilistic Model of Social Decision Making based on Reward Maximization NeurIPS 2016 A Stochastic Model for Computer-Aided Human-Human Dialogue Interspeech 2016 Asynchronous Methods for Deep Reinforcement Learning ICML 2016 Bayesian Policy Gradient and Actor-Critic Algorithms JMLR 2016 Benchmarking Deep Reinforcement Learning for Continuous Control ICML 2016 Black-Box Policy Search with Probabilistic Programs AISTATS 2016 Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning NeurIPS 2016 Closed Loop Control of a Tethered Magnetic Capsule Endoscope RSS 2016 Combined Optimization and Reinforcement Learning for Manipulation Skills RSS 2016 Continuous Deep Q-Learning with Model-based Acceleration ICML 2016 Control of Memory, Active Perception, and Action in Minecraft ICML 2016 Cooperative Inverse Reinforcement Learning NeurIPS 2016 Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control ICML 2016 Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning ICML 2016 Deep Exploration via Bootstrapped DQN NeurIPS 2016 Design and Implementation of a Novel Robot Fish with Active and Compliant Propulsion Mechanism RSS 2016 Differentially Private Policy Evaluation ICML 2016 Doubly Robust Off-policy Value Evaluation for Reinforcement Learning ICML 2016 Dueling Network Architectures for Deep Reinforcement Learning ICML 2016 End-to-End Training of Deep Visuomotor Policies JMLR 2016 Generalization and Exploration via Randomized Value Functions ICML 2016