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• Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
  2020 · 16 citations
• AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
  2021 · 6 citations
• Factored Adaptation for Non-Stationary Reinforcement Learning
  2022 · 5 citations
• Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach
  2023 · 2 citations
• Learning World Models with Identifiable Factorization
  2023 · 2 citations
• MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment
  2023 · 1 citations
• Learning Object Manipulation from Scratch via Contrastive Interaction
  2026
• Factored Causal Representation Learning for Robust Reward Modeling in RLHF
  2026
• Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations
  2024
• Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge
  2024
• Rethinking State Disentanglement in Causal Reinforcement Learning
  2024