Reinforcement Learning

On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search ICML 2016 On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games AISTATS 2016 Opponent Modeling in Deep Reinforcement Learning ICML 2016 PAC Reinforcement Learning with Rich Observations NeurIPS 2016 Policy Error Bounds for Model-Based Reinforcement Learning with Factored Linear Models COLT 2016 Practical Kernel-Based Reinforcement Learning JMLR 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 Reinforcement Learning of POMDPs using Spectral Methods COLT 2016 Representing and Learning Complex Object Interactions RSS 2016 Robust Phase-Space Planning for Agile Legged Locomotion over Various Terrain Topologies RSS 2016 Routing Autonomous Vehicles in Congested Transportation Networks: Structural Properties and Coordination Algorithms RSS 2016 Safe and Efficient Off-Policy Reinforcement Learning NeurIPS 2016 Safe Exploration in Finite Markov Decision Processes with Gaussian Processes NeurIPS 2016 Safe Policy Improvement by Minimizing Robust Baseline Regret NeurIPS 2016 Shape-Based Compliance in Locomotion RSS 2016 Smooth Imitation Learning for Online Sequence Prediction ICML 2016 Softened Approximate Policy Iteration for Markov Games ICML 2016 Strategic Attentive Writer for Learning Macro-Actions NeurIPS 2016 Time and Energy Optimal Path Planning in General Flows RSS 2016 Tree-Structured Reinforcement Learning for Sequential Object Localization NeurIPS 2016 True Online Temporal-Difference Learning JMLR 2016 Unifying Count-Based Exploration and Intrinsic Motivation NeurIPS 2016 Unsupervised Learning for Physical Interaction through Video Prediction NeurIPS 2016