Reinforcement Learning

A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning NeurIPS 2017 Automatic Text Summarization Using Reinforcement Learning with Embedding Features IJCNLP 2017 Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning ICML 2017 Boltzmann Exploration Done Right NeurIPS 2017 Boosted Fitted Q-Iteration ICML 2017 Bridging the Gap Between Value and Policy Based Reinforcement Learning NeurIPS 2017 Budget-Aware Deep Semantic Video Segmentation CVPR 2017 CAD2RL: Real Single-Image Flight Without a Single Real Image RSS 2017 COG-DICE: An Algorithm for Solving Continuous-Observation Dec-POMDPs IJCAI 2017 Cold-Start Reinforcement Learning with Softmax Policy Gradient NeurIPS 2017 Collaborative Deep Reinforcement Learning for Joint Object Search CVPR 2017 Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning ICML 2017 Compatible Reward Inverse Reinforcement Learning NeurIPS 2017 Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning EMNLP 2017 Comprehensive Theory of Differential Kinematics and Dynamics for Motion Optimization RSS 2017 Constrained Bayesian Reinforcement Learning via Approximate Linear Programming IJCAI 2017 Constrained Policy Optimization ICML 2017 Contextual Covariance Matrix Adaptation Evolutionary Strategies IJCAI 2017 Contextual Decision Processes with low Bellman rank are PAC-Learnable ICML 2017 Coordinated Versus Decentralized Exploration In Multi-Agent Multi-Armed Bandits IJCAI 2017 Count-Based Exploration in Feature Space for Reinforcement Learning IJCAI 2017 Count-Based Exploration with Neural Density Models ICML 2017 Curiosity-driven Exploration by Self-supervised Prediction ICML 2017 Curriculum Learning in Reinforcement Learning IJCAI 2017 DARLA: Improving Zero-Shot Transfer in Reinforcement Learning ICML 2017