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Reinforcement Learning

9,982 papers (145 classified directly here)

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Papers (including subtopics)

Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms NeurIPS 2021 Benchmarks for Deep Off-Policy Evaluation ICLR 2021 Better Aggregation in Test-Time Augmentation ICCV 2021 Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes CoRL 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 Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning CoRL 2021 Building Decision Tree for Imbalanced Classification via Deep Reinforcement Learning ACML 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