Combining Trained Models in Reinforcement Learning

arXiv:2605.02159v1 Announce Type: cross Abstract: Deep reinforcement learning (DRL) has delivered strong results in domains such as Atari and Go, but it still suffers from high sample cost and weak transfer beyond the training setting. A common response is to reuse information from previously...