Policy Learning

Is the Bellman residual a bad proxy? NeurIPS 2017 Latent Intention Dialogue Models ICML 2017 Learning Constrained Generalizable Policies by Demonstration RSS 2017 Learning Conversational Systems that Interleave Task and Non-Task Content IJCAI 2017 Learning in POMDPs with Monte Carlo Tree Search ICML 2017 Learning Partial Policies to Speedup MDP Tree Search via Reduction to I.I.D. Learning JMLR 2017 Learning Robot Objectives from Physical Human Interaction CoRL 2017 Learning Sparse Representations in Reinforcement Learning with Sparse Coding IJCAI 2017 Learning Unknown Markov Decision Processes: A Thompson Sampling Approach NeurIPS 2017 Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects IJCAI 2017 Multi-Agent Systems of Inverse Reinforcement Learners in Complex Games IJCAI 2017 Non-parametric Policy Search with Limited Information Loss JMLR 2017 On-line Dialogue Policy Learning with Companion Teaching EACL 2017 Optimistic posterior sampling for reinforcement learning: worst-case regret bounds NeurIPS 2017 Policy Gradient With Value Function Approximation For Collective Multiagent Planning NeurIPS 2017 Preparing for the Unknown: Learning a Universal Policy with Online System Identification RSS 2017 Reduction Techniques for Model Checking and Learning in MDPs IJCAI 2017 Regret Minimization in MDPs with Options without Prior Knowledge NeurIPS 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 Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes NeurIPS 2017 Safe Model-based Reinforcement Learning with Stability Guarantees NeurIPS 2017 Sample Efficient Policy Search for Optimal Stopping Domains IJCAI 2017 Self-Critical Sequence Training for Image Captioning CVPR 2017