Policy Learning

Advice-Guided Reinforcement Learning in a non-Markovian Environment AAAI 2021 A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces AISTATS 2021 Algorithms for Fairness in Sequential Decision Making AISTATS 2021 An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning NeurIPS 2021 A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning ICML 2021 A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning JMLR 2021 A Regret Minimization Approach to Iterative Learning Control ICML 2021 A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints AAAI 2021 Augmenting Policy Learning with Routines Discovered from a Single Demonstration AAAI 2021 A Universal 2-state n-action Adaptive Management Solver AAAI 2021 Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning AAAI 2021 Autonomous Reinforcement Learning via Subgoal Curricula NeurIPS 2021 Average-Reward Learning and Planning with Options NeurIPS 2021 Average-Reward Reinforcement Learning with Trust Region Methods IJCAI 2021 Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning NeurIPS 2021 Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization ICML 2021 Bilinear Classes: A Structural Framework for Provable Generalization in RL ICML 2021 BKT-POMDP: Fast Action Selection for User Skill Modelling over Tasks with Multiple Skills IJCAI 2021 Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory AAAI 2021 Bridging the Imitation Gap by Adaptive Insubordination NeurIPS 2021 CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization ICCV 2021 Causal Confusion Reduction for Robust Multi-Domain Dialogue Policy Interspeech 2021 Cautious Actor-Critic ACML 2021 Cautious Bayesian Optimization for Efficient and Scalable Policy Search L4DC 2021 Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation COLT 2021