Methods

Bootstrapped Meta-Learning ICLR 2022 Bootstrapped Transformer for Offline Reinforcement Learning NeurIPS 2022 Branching Reinforcement Learning ICML 2022 Bregman Gradient Policy Optimization ICLR 2022 Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models RSS 2022 Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine Translation NAACL 2022 BYOL-Explore: Exploration by Bootstrapped Prediction NeurIPS 2022 CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving AAAI 2022 Can Data Diversity Enhance Learning Generalization? COLING 2022 Can Humans Be out of the Loop? CLeaR 2022 Can mean field control (mfc) approximate cooperative multi agent reinforcement learning (marl) with non-uniform interaction? UAI 2022 Can Q-learning be Improved with Advice? COLT 2022 Can Question Rewriting Help Conversational Question Answering? ACL 2022 Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning ICML 2022 Case-based off-policy evaluation using prototype learning UAI 2022 [CASPI] Causal-aware Safe Policy Improvement for Task-oriented Dialogue ACL 2022 CAtNIPP: Context-Aware Attention-based Network for Informative Path Planning CoRL 2022 Causal Discovery and Reinforcement Learning: A Synergistic Integration PGM 2022 Causal Dynamics Learning for Task-Independent State Abstraction ICML 2022 Causality-driven Hierarchical Structure Discovery for Reinforcement Learning NeurIPS 2022 CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning IJCAI 2022 CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations NeurIPS 2022 CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement Learning NAACL 2022 Chaining Value Functions for Off-Policy Learning AAAI 2022 Channel Pruning via Lookahead Search Guided Reinforcement Learning WACV 2022