Reinforcement Learning

Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms AISTATS 2021 Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems L4DC 2021 Sample Complexity of Policy Gradient Finding Second-Order Stationary Points AAAI 2021 Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model NeurIPS 2021 Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity ICML 2021 Sample Efficient Reinforcement Learning with REINFORCE AAAI 2021 Sample-Specific Output Constraints for Neural Networks AAAI 2021 Scalable First-Order Methods for Robust MDPs AAAI 2021 Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing ICML 2021 Self-correcting Q-learning AAAI 2021 Self-Paced Context Evaluation for Contextual Reinforcement Learning ICML 2021 Self-Supervised Attention-Aware Reinforcement Learning AAAI 2021 Semi-Supervised Policy Initialization for Playing Games with Language Hints NAACL 2021 Settling the Variance of Multi-Agent Policy Gradients NeurIPS 2021 Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks ICML 2021 SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark NeurIPS 2021 Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback CoRL 2021 Softmax Policy Gradient Methods Can Take Exponential Time to Converge COLT 2021 Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning ICML 2021 Solving JumpIN’ Using Zero-Dependency Reinforcement Learning (Student Abstract) AAAI 2021 SOPE: Spectrum of Off-Policy Estimators NeurIPS 2021 Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient ICML 2021 Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains NeurIPS 2021 Stabilizing Q Learning Via Soft Mellowmax Operator AAAI 2021 State-Wise Adaptive Discounting from Experience (SADE): A Novel Discounting Scheme for Reinforcement Learning (Student Abstract) AAAI 2021