Reinforcement Learning

A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation ICML 2020 A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems AAAI 2020 Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction AAAI 2020 A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change ICML 2020 An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization IJCAI 2020 An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies AAAI 2020 A Nonparametric Off-Policy Policy Gradient AISTATS 2020 Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions AISTATS 2020 A Practical Algorithm for Multiplayer Bandits when Arm Means Vary Among Players AISTATS 2020 A Reinforcement Learning Approach to Strategic Belief Revelation with Social Influence AAAI 2020 A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control AAAI 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 Attentive Experience Replay AAAI 2020 Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation AAAI 2020 A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms NeurIPS 2020 A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes AAAI 2020 AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses AAAI 2020 AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos RSS 2020 Balancing Learning Speed and Stability in Policy Gradient via Adaptive Exploration AISTATS 2020 Batch Reinforcement Learning with Hyperparameter Gradients ICML 2020 Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling L4DC 2020 Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy AAAI 2020 Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs NeurIPS 2020