experience reconstruction 1large language models 1memory-augmented agents 1out-of-distribution robustness 1reinforcement learning 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.RO2026
From Failures to Supervision: DynamicEnvPlan for Robust Long-Horizon Embodied Planning
Hao Yuan, Yuxin Wang, Lei Ji +1
Physical-world interaction is inherently dynamic, as environments can evolve during execution, requiring agents to adapt their plans under non-stationary conditions. We study this…
cs.AI2026
MemHarness: Memory Is Reconstructed, Not Replayed
Rong Wu, Daocheng Fu, Licheng Wen +10
The paper introduces MemHarness, a framework that lets large language model agents reconstruct and adapt retrieved past experiences to the current context instead of replaying them…