EVOM: Agentic Meta-Evolution of Actor-Critic Architectures for Reinforcement Learning
DGX agentarXiv:2606.26327v1 Announce Type: cross Abstract: In actor-critic reinforcement learning, network architectures are typically manually designed. Automating this design is challenging because each cand