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• Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning
  2019 · 27 citations
• Nonlinear Distributional Gradient Temporal-Difference Learning
  2018 · 10 citations
• Variational Policy Propagation for Multi-agent Reinforcement Learning
  2020 · 1 citations
• DyJR: Preserving Diversity in Reinforcement Learning with Verifiable Rewards via Dynamic Jensen-Shannon Replay
  2026
• SQL-ASTRA: Alleviating Sparse Feedback in Agentic SQL via Column-Set Matching and Trajectory Aggregation
  2026
• Count Counts: Motivating Exploration in LLM Reasoning with Count-based Intrinsic Rewards
  2025
• The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward
  2025
• Unleashing Flow Policies with Distributional Critics
  2025
• VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
  2025
• Model Embedding Model-Based Reinforcement Learning
  2020
• Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes
  2022
• A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud
  2022
• Subequivariant Reinforcement Learning Framework for Coordinated Motion Control
  2024