Reinforcement Learning

Model-Based Planning with Energy-Based Models CoRL 2019 Model-Based Reinforcement Learning Exploiting State-Action Equivalence ACML 2019 Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches COLT 2019 Model-Free IRL Using Maximum Likelihood Estimation AAAI 2019 Model-Free Linear Quadratic Control via Reduction to Expert Prediction AISTATS 2019 Model-Free Model Reconciliation IJCAI 2019 Model Learning for Look-Ahead Exploration in Continuous Control AAAI 2019 Monte Carlo Tree Search for Policy Optimization IJCAI 2019 More Efficient Off-Policy Evaluation through Regularized Targeted Learning ICML 2019 Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation NeurIPS 2019 Multi-Agent Adversarial Inverse Reinforcement Learning ICML 2019 Multi-Agent Common Knowledge Reinforcement Learning NeurIPS 2019 Multiagent Decision Making and Learning in Urban Environments IJCAI 2019 Multiagent Decision Making For Maritime Traffic Management AAAI 2019 Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition ICCV 2019 Multi-Agent Reinforcement Learning with Multi-Step Generative Models CoRL 2019 Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints IJCAI 2019 Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks IJCAI 2019 Multi-Task Deep Reinforcement Learning with PopArt AAAI 2019 Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies ACL 2019 Multi-View Reinforcement Learning NeurIPS 2019 Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning CoRL 2019 NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning ICLR 2019 Natural Option Critic AAAI 2019 Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments CoRL 2019