Reinforcement Learning

A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms AISTATS 2020 A distributional view on multi-objective policy optimization ICML 2020 A Duality Approach for Regret Minimization in Average-Award Ergodic Markov Decision Processes L4DC 2020 Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization NeurIPS 2020 A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation ICML 2020 A Finite-Time Analysis of Two Time-Scale Actor-Critic Methods NeurIPS 2020 A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning NeurIPS 2020 A Game Theoretic Framework for Model Based Reinforcement Learning ICML 2020 Agbots 2.0: Weeding Denser Fields with Fewer Robots RSS 2020 A Generalized Training Approach for Multiagent Learning ICLR 2020 Agent57: Outperforming the Atari Human Benchmark ICML 2020 A Global Quasi-Dynamic Model for Contact-Trajectory Optimization in Manipulation RSS 2020 Agnostic Q-learning with Function Approximation in Deterministic Systems: Near-Optimal Bounds on Approximation Error and Sample Complexity NeurIPS 2020 A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning AISTATS 2020 AI-Toolbox: A C++ library for Reinforcement Learning and Planning (with Python Bindings) JMLR 2020 A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems AAAI 2020 A Learning-based Iterative Method for Solving Vehicle Routing Problems ICLR 2020 A Learning-Exploring Method to Generate Diverse Paraphrases with Multi-Objective Deep Reinforcement Learning COLING 2020 Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction AAAI 2020 Almost Optimal Model-Free Reinforcement Learningvia Reference-Advantage Decomposition NeurIPS 2020 A Local Temporal Difference Code for Distributional Reinforcement Learning NeurIPS 2020 A Machine of Few Words: Interactive Speaker Recognition with Reinforcement Learning Interspeech 2020 A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change ICML 2020 A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs NeurIPS 2020 A Motion Taxonomy for Manipulation Embedding RSS 2020