Policy Learning

Learning Compositional Tasks from Language Instructions AAAI 2023 Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient AAAI 2023 Learning from Active Human Involvement through Proxy Value Propagation 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 Robot Manipulation from Cross-Morphology Demonstration CoRL 2023 Learning Shared Safety Constraints from Multi-task Demonstrations NeurIPS 2023 Learning Soft Constraints From Constrained Expert Demonstrations ICLR 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 Rank Generation with Pairwise Partial Rewards EMNLP 2023 Learning to Shape Rewards Using a Game of Two Partners AAAI 2023 Learning to Terminate in Object Navigation ACML 2023 Lending Interaction Wings to Recommender Systems with Conversational Agents NeurIPS 2023 LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework ICML 2023 Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets NeurIPS 2023 Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies ICLR 2023 Local Explanations for Reinforcement Learning AAAI 2023 Locomotion-Action-Manipulation: Synthesizing Human-Scene Interactions in Complex 3D Environments ICCV 2023 Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits ACML 2023 Lower Bounds for Learning in Revealing POMDPs ICML 2023 Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling ICML 2023 MANSA: Learning Fast and Slow in Multi-Agent Systems ICML 2023