Lei Yuan

Hierarchical Value-Decomposed Offline Reinforcement Learning for Whole-Body Control

Proactive Cost Generation for Offline Safe Reinforcement Learning Without Unsafe Data

Learning Disentangled Multi-Agent World Model for Decentralized Control

Sequential Multi-Agent Dynamic Algorithm Configuration

Adaptable Safe Policy Learning from Multi-task Data with Constraint Prioritized Decision Transformer

LLM-Assisted Semantically Diverse Teammate Generation for Efficient Multi-agent Coordination

Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching

Uncertainty-Sensitive Privileged Learning

Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation

Safe Multi-task Pretraining with Constraint Prioritized Decision Transformer

Multi-Agent Imitation by Learning and Sampling from Factorized Soft Q-Function

Learning to Reuse Policies in State Evolvable Environments

Haland: Human-AI Coordination via Policy Generation from Language-guided Diffusion

Boosting Offline Multi-Objective Reinforcement Learning via Preference Conditioned Diffusion Models

Diffusion-Guided Safe Policy Optimization From Cost-Label-Free Offline Dataset