Jiashun Liu

Tricks or Traps? A Deep Dive into RL for LLM Reasoning

The Rank and Gradient Lost in Non-stationarity: Sample Weight Decay for Mitigating Plasticity Loss in Reinforcement Learning

Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning

Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning

Neuroplastic Expansion in Deep Reinforcement Learning

Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization