Reinforcement Learning

Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms NeurIPS 2021 Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization ICML 2021 Bilevel Optimization: Convergence Analysis and Enhanced Design 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 BlockCopy: High-Resolution Video Processing With Block-Sparse Feature Propagation and Online Policies ICCV 2021 Bootstrapping Fitted Q-Evaluation for Off-Policy Inference ICML 2021 Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning NeurIPS 2021 Characterizing the Gap Between Actor-Critic and Policy Gradient ICML 2021 CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models AAAI 2021 Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization AAAI 2021 Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu IJCAI 2021 Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management AAAI 2021 Communication in Multi-Agent Reinforcement Learning: Intention Sharing ICLR 2021 Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting AISTATS 2021 Conservative Offline Distributional Reinforcement Learning NeurIPS 2021 Context-Aware Scene Graph Generation With Seq2Seq Transformers ICCV 2021 Contrastive Active Inference NeurIPS 2021 Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks ICML 2021 Control of Unknown (Linear) Systems with Receding Horizon Learning L4DC 2021 Convex Regularization in Monte-Carlo Tree Search ICML 2021 Cooperative Exploration for Multi-Agent Deep Reinforcement Learning ICML 2021 Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback NeurIPS 2021 Corruption-robust exploration in episodic reinforcement learning COLT 2021 CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee ICML 2021