Methods

Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets NeurIPS 2022 LEATHER: A Framework for Learning to Generate Human-like Text in Dialogue AACL 2022 LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward NeurIPS 2022 Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement Learning MIDL 2022 LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation ICML 2022 Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity ICML 2022 Leveraging Class Abstraction for Commonsense Reinforcement Learning via Residual Policy Gradient Methods IJCAI 2022 Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare NeurIPS 2022 Leveraging Fully Observable Policies for Learning under Partial Observability CoRL 2022 Lexicographic Multi-Objective Reinforcement Learning IJCAI 2022 Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization AAAI 2022 Lifting in multi-agent systems under uncertainty UAI 2022 LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning ICLR 2022 LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation NeurIPS 2022 Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning AAAI 2022 Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions NeurIPS 2022 Logarithmic Regret for Episodic Continuous-Time Linear-Quadratic Reinforcement Learning over a Finite-Time Horizon JMLR 2022 Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning NeurIPS 2022 Low-Rank Modular Reinforcement Learning via Muscle Synergy NeurIPS 2022 Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning CoRL 2022 Maillard Sampling: Boltzmann Exploration Done Optimally AISTATS 2022 MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems AAAI 2022 Marginalized Operators for Off-policy Reinforcement Learning AISTATS 2022 Marginal MAP estimation for inverse RL under occlusion with observer noise UAI 2022 Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes IJCAI 2022