Reinforcement Learning

Player Movement Models for Video Game Level Generation IJCAI 2017 Policy Gradient With Value Function Approximation For Collective Multiagent Planning NeurIPS 2017 POMDPs.jl: A Framework for Sequential Decision Making under Uncertainty JMLR 2017 PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning CVPR 2017 Predictive-State Decoders: Encoding the Future into Recurrent Networks NeurIPS 2017 Preparing for the Unknown: Learning a Universal Policy with Online System Identification RSS 2017 Process Plan Controllers for Non-Deterministic Manufacturing Systems IJCAI 2017 Provably Optimal Algorithms for Generalized Linear Contextual Bandits ICML 2017 Pytheas: Enabling Data-Driven Quality of Experience Optimization Using Group-Based Exploration-Exploitation NSDI 2017 QMDP-Net: Deep Learning for Planning under Partial Observability NeurIPS 2017 Reduction Techniques for Model Checking and Learning in MDPs IJCAI 2017 Regret Minimization in MDPs with Options without Prior Knowledge NeurIPS 2017 Reinforced Video Captioning with Entailment Rewards EMNLP 2017 Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback EMNLP 2017 Reinforcement Learning under Model Mismatch NeurIPS 2017 Reinforcement Learning with a Corrupted Reward Channel IJCAI 2017 Reinforcement Learning with Deep Energy-Based Policies ICML 2017 Reinforcement mechanism design IJCAI 2017 Relational Reinforcement Learning for Planning with Exogenous Effects JMLR 2017 Repeated Inverse Reinforcement Learning NeurIPS 2017 Reverse Curriculum Generation for Reinforcement Learning CoRL 2017 Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models RSS 2017 Robotic Strategic Behavior in Adversarial Environments IJCAI 2017 Robust Adversarial Reinforcement Learning ICML 2017 Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes NeurIPS 2017