Deep RL

Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning AAAI 2021 Auto-Navigator: Decoupled Neural Architecture Search for Visual Navigation WACV 2021 Auxiliary Tasks for Efficient Learning of Point-Goal Navigation WACV 2021 Balancing Constraints and Rewards with Meta-Gradient D4PG ICLR 2021 Batch Value-function Approximation with Only Realizability ICML 2021 Bayesian Distributional Policy Gradients AAAI 2021 Behavior From the Void: Unsupervised Active Pre-Training 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 Bilinear Classes: A Structural Framework for Provable Generalization in RL ICML 2021 Blending MPC & Value Function Approximation for Efficient Reinforcement Learning ICLR 2021 Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning RSS 2021 BooVI: Provably Efficient Bootstrapped Value Iteration NeurIPS 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 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 Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning ICML 2021 Causal Influence Detection for Improving Efficiency in Reinforcement Learning NeurIPS 2021 Cautious Actor-Critic ACML 2021 ChainerRL: A Deep Reinforcement Learning Library JMLR 2021 C-Learning: Learning to Achieve Goals via Recursive Classification ICLR 2021 Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning NeurIPS 2021