Leveraging Reward Gradients For Reinforcement Learning in Differentiable Physics Simulations
收藏DataCite Commons2026-01-07 更新2025-04-16 收录
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https://service.tib.eu/ldmservice/dataset/988f0980-9c5e-472c-9eff-bdd360482c94
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资源简介：
A novel algorithm, Cross Entropy Analytic Policy Gradients (CE-APG), that is able to leverage analytic gradients to outperform state of the art deep reinforcement learning on a certain set of challenging nonlinear control problems.
提供机构：
TIB
创建时间：
2025-01-03
