Reinforcement Learning

A Max-Min Entropy Framework for Reinforcement Learning NeurIPS 2021 A Minimalist Approach to Offline Reinforcement Learning NeurIPS 2021 An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning NeurIPS 2021 An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards RSS 2021 An Enhanced Advising Model in Teacher-Student Framework using State Categorization AAAI 2021 A New Formalism, Method and Open Issues for Zero-Shot Coordination ICML 2021 A New Representation of Successor Features for Transfer across Dissimilar Environments ICML 2021 A Novel Mountain Driving Unity Simulated Environment for Autonomous Vehicles AAAI 2021 A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning ICML 2021 Applied Machine Learning for Games: A Graduate School Course AAAI 2021 Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning AISTATS 2021 A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning JMLR 2021 A Proposal: Interactively Learning to Summarise Timelines by Reinforcement Learning ACL 2021 A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning NeurIPS 2021 A Provably Efficient Sample Collection Strategy for Reinforcement Learning NeurIPS 2021 APS: Active Pretraining with Successor Features ICML 2021 A Regret Minimization Approach to Iterative Learning Control ICML 2021 A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms JMLR 2021 A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints AAAI 2021 A Sharp Analysis of Model-based Reinforcement Learning with Self-Play ICML 2021 Assisted Robust Reward Design CoRL 2021 Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models NeurIPS 2021 A System for General In-Hand Object Re-Orientation CoRL 2021 Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment ICML 2021 Augmenting Policy Learning with Routines Discovered from a Single Demonstration AAAI 2021