Publications
You can also find my papers on Google Scholar.
* co-first author, † corresponding author
Preprints
- A Causal Approach for Interpretable Reward Redistribution in Visual Reinforcement Learning
Under Review. - Self-Evolving LLM Agents under Offline Data Support.
Under Review. - Distill Not Only Data but Also Rewards: Can Smaller Language Models Surpass Larger Ones?
Preprint. Link - CAST: A Causality-inspired Spatial-temporal Return Decomposition Approach for Multi-agent RL.
NeurIPS 2024 Causal Representation Learning Workshop. Link
Conferences
- Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems.
NeurIPS 2025. Link - Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-level Physics Problem Solving.
EMNLP Findings 2025. Link - RuAG: Learned-rule-augmented Generation for Large Language Models.
ICLR 2025. Link - Pillagerbench: Benchmarking LLM-based Agents in Competitive Minecraft Team Environments.
IEEE Conference on Games (CoG), 2025. Link - Large Language Models are Neurosymbolic Reasoners.
AAAI 2024. Link - Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach.
NeurIPS 2023. Link - COOM: A Game Benchmark for Continual Reinforcement Learning.
NeurIPS 2023 D&B Track. Link - RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking.
AAAI 2023. Link
