Methods

Interactive Spoken Content Retrieval by Deep Reinforcement Learning Interspeech 2016 Learning Multiagent Communication with Backpropagation NeurIPS 2016 Learning Simple Algorithms from Examples ICML 2016 Learning to Communicate with Deep Multi-Agent Reinforcement Learning NeurIPS 2016 Learning values across many orders of magnitude NeurIPS 2016 Lenient Learning in Independent-Learner Stochastic Cooperative Games JMLR 2016 Linear Feature Encoding for Reinforcement Learning NeurIPS 2016 Model-Free Imitation Learning with Policy Optimization ICML 2016 Model-Free Trajectory Optimization for Reinforcement Learning ICML 2016 Near Optimal Behavior via Approximate State Abstraction ICML 2016 Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings AISTATS 2016 Only H is left: Near-tight Episodic PAC RL NeurIPS 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 Safe and Efficient Off-Policy Reinforcement Learning NeurIPS 2016 Safe Policy Improvement by Minimizing Robust Baseline Regret NeurIPS 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