Search papers, labs, and topics across Lattice.
3
0
6
16
Shifting the focus from static state transitions to dynamic, agent-centric feedback could revolutionize how we train and evolve intelligent agents.
Forget static memory鈥擬emHarness reconstructs past experiences to fit the present context, dramatically boosting decision-making performance in LLM agents.
A lightweight proxy model can efficiently discover high-reward behaviors, enabling significant performance boosts in stronger LLMs without the computational burden of traditional methods.
