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cs.LG2026
When Sparse Reward Meets Dense Distillation: Training Dynamics of On-Policy Distillation
Xinke Jiang, Tao Feng, Zhibang Yang +4
Reinforcement learning with verifiable rewards provides a sparse post-training signal: a single binary outcome evaluates the entire rollout, and every token receives the same seque…
cs.LG2026
GenMem: Generative Symbolic Memory for Self-Evolving Harness
Xinke Jiang, Tao Feng, Weixuan Xu +7
Long-term memory supports the self-evolution of LLM agents by retaining experience and skills across tasks and enabling their retrieval, reuse, and revision in subsequent long-hori…