Rethinking Policy Diversity in Ensemble Policy Gradient in Large-Scale Reinforcement Learning
arXiv:2603.01741v2 Announce Type: replace Abstract: Scaling reinforcement learning to tens of thousands of parallel environments requires overcoming the limited exploration capacity of a single policy. Ensemble-based policy gradient methods, which employ multiple policies to c...
🔗 Read more: https://arxiv.org/abs/2603.01741
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