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Haojia Hui

2 accepted papers

2026

MARSHAL: Incentivizing Multi-Agent Reasoning via Self-Play with Strategic LLMs

ICLR 2026poster

Developing Large Language Models (LLMs) to cooperate and compete effectively within multi-agent systems (MASs) is a critical step towards more advanced intelligence. While reinforcement learning (RL) has proven effective for enhancing reasoning in single-agent tasks, its extension to multi-turn, mul…

Cited by 13SourcecodeScholar
2026

SAC Flow: Sample-Efficient Reinforcement Learning of Flow-Based Policies via Velocity-Reparameterized Sequential Modeling

ICLR 2026poster

Training expressive flow-based policies with off-policy reinforcement learning is notoriously unstable due to gradient pathologies in the multi-step action sampling process. We trace this instability to a fundamental connection: the flow rollout is algebraically equivalent to a residual recurrent co…

Cited by 0SourcecodeScholar