Track papers across labs, topics, and trends.
Search papers, labs, and topics across Lattice.
Affiliation:
3
0
5
Agents trained with Agent-Reflex exhibit a 29.1% improvement on a noise-heavy benchmark, demonstrating robust failure recovery and proactive reflection even with faulty tool feedback.
Agents can now recursively evolve their own training environments, jointly building and validating tasks, contexts, and verifiers for robust long-horizon learning.
External agent scaffolding can be discarded after training by distilling evolved decision-making procedures directly into a model's native reasoning traces.