Methods

Learning from Visual Observation via Offline Pretrained State-to-Go Transformer NeurIPS 2023 Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract) AAAI 2023 Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition JMLR 2023 Learning Human-to-Robot Handovers From Point Clouds CVPR 2023 Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023 Learning Intuitive Policies Using Action Features ICML 2023 Learning Mean-Field Games with Discounted and Average Costs JMLR 2023 Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations NeurIPS 2023 Learning Noise-Induced Reward Functions for Surpassing Demonstrations in Imitation Learning AAAI 2023 Learning non-Markovian Decision-Making from State-only Sequences NeurIPS 2023 Learning Pessimism for Reinforcement Learning AAAI 2023 Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching L4DC 2023 Learning Realistic Traffic Agents in Closed-loop CoRL 2023 Learning Regularized Monotone Graphon Mean-Field Games NeurIPS 2023 Learning Robot Manipulation from Cross-Morphology Demonstration CoRL 2023 Learning Shared Safety Constraints from Multi-task Demonstrations NeurIPS 2023 Learning Simultaneous Navigation and Construction in Grid Worlds ICLR 2023 Learning Soft Constraints From Constrained Expert Demonstrations ICLR 2023 Learning Sparse Graphon Mean Field Games AISTATS 2023 Learning Temporally AbstractWorld Models without Online Experimentation ICML 2023 Learning to Describe for Predicting Zero-shot Drug-Drug Interactions EMNLP 2023 Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning CoRL 2023 Learning to Discover Skills through Guidance NeurIPS 2023 Learning to Identify Critical States for Reinforcement Learning from Videos ICCV 2023 Learning to Influence Human Behavior with Offline Reinforcement Learning NeurIPS 2023