SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning
Paper • 2607.14777 • Published • 67
Zheng Lian
zeroqiaoba
AI & ML interests
affective computing, human-computer interaction, large language model
Recent Activity
upvoted a paper about 16 hours ago
SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning upvoted a paper 22 days ago
OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning upvoted a paper about 1 month ago
RobotEQ: Transitioning from Passive Intelligence to Active Intelligence in Embodied AIOrganizations
