Reinforcement Learning

A Universal 2-state n-action Adaptive Management Solver AAAI 2021 A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models AAAI 2021 Automatically Exposing Problems with Neural Dialog Models EMNLP 2021 Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning AAAI 2021 Automatic Data Augmentation for Generalization in Reinforcement Learning NeurIPS 2021 Auto-Navigator: Decoupled Neural Architecture Search for Visual Navigation WACV 2021 Autonomous Reinforcement Learning via Subgoal Curricula NeurIPS 2021 Auxiliary Tasks and Exploration Enable ObjectGoal Navigation ICCV 2021 Auxiliary Tasks for Efficient Learning of Point-Goal Navigation WACV 2021 Average-Reward Learning and Planning with Options NeurIPS 2021 Average-Reward Off-Policy Policy Evaluation with Function Approximation ICML 2021 Average-Reward Reinforcement Learning with Trust Region Methods IJCAI 2021 AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale CoRL 2021 A Workflow for Offline Model-Free Robotic Reinforcement Learning CoRL 2021 BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning IJCAI 2021 Back to Reality for Imitation Learning CoRL 2021 Balancing Constraints and Rewards with Meta-Gradient D4PG ICLR 2021 Batch Reinforcement Learning Through Continuation Method ICLR 2021 Batch Value-function Approximation with Only Realizability ICML 2021 Bayesian Distributional Policy Gradients AAAI 2021 BCORLE(λ): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market NeurIPS 2021 BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning CoRL 2021 Behavior From the Void: Unsupervised Active Pre-Training NeurIPS 2021 Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning NeurIPS 2021 Bellman-consistent Pessimism for Offline Reinforcement Learning NeurIPS 2021