Methods

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 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 Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms NeurIPS 2021 Benchmarks for Deep Off-Policy Evaluation ICLR 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 Bias-Robust Bayesian Optimization via Dueling Bandits 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 Blending MPC & Value Function Approximation for Efficient Reinforcement Learning ICLR 2021 Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning RSS 2021 Boosting Offline Reinforcement Learning with Residual Generative Modeling IJCAI 2021 Bootstrapping Fitted Q-Evaluation for Off-Policy Inference ICML 2021 BooVI: Provably Efficient Bootstrapped Value Iteration NeurIPS 2021 Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory AAAI 2021 BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning ACML 2021 Breaking the Deadly Triad with a Target Network ICML 2021 Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning NeurIPS 2021 Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning NeurIPS 2021 Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism NeurIPS 2021 Bridging the Imitation Gap by Adaptive Insubordination NeurIPS 2021