Proximal policy optimization with adaptive threshold for symmetric relative density ratio
Deep reinforcement learning (DRL) is one of the promising approaches for introducing robots into complicated environments. The recent remarkable progress of DRL stands on regularization of policy, which allows the policy to improve stably and efficiently. A popular method, so-called proximal policy...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-03-01
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| Series: | Results in Control and Optimization |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666720722000649 |