Reinforcement Learning

AMRL: Aggregated Memory For Reinforcement Learning ICLR 2020 A Multi-Objective Approach to Mitigate Negative Side Effects IJCAI 2020 Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent IJCAI 2020 A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits ICML 2020 An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search NeurIPS 2020 An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization IJCAI 2020 An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay NeurIPS 2020 An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods NeurIPS 2020 An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies AAAI 2020 A Nonparametric Off-Policy Policy Gradient AISTATS 2020 An operator view of policy gradient methods NeurIPS 2020 An Optimistic Perspective on Offline Reinforcement Learning ICML 2020 A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances NeurIPS 2020 Answer-driven Deep Question Generation based on Reinforcement Learning COLING 2020 Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions AISTATS 2020 A Reduction from Reinforcement Learning to No-Regret Online Learning AISTATS 2020 A Reinforcement Learning Approach to Strategic Belief Revelation with Social Influence AAAI 2020 Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence AAAI 2020 A Self-Tuning Actor-Critic Algorithm NeurIPS 2020 A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning ACML 2020 Asymptotically Efficient Off-Policy Evaluation for Tabular Reinforcement Learning AISTATS 2020 Asynchronous Coagent Networks ICML 2020 AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity AISTATS 2020 A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound AAAI 2020 Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset AAAI 2020