- PPO-PyTorch VS HandyRL
- PPO-PyTorch VS l2rpn-baselines
- PPO-PyTorch VS Pytorch-PCGrad
- PPO-PyTorch VS cleanrl
- PPO-PyTorch VS pytorch-accelerated
- PPO-PyTorch VS nes-torch
- PPO-PyTorch VS autonomous-learning-library
- PPO-PyTorch VS recurrent-ppo-truncated-bptt
- PPO-PyTorch VS PPO-for-Beginners
- PPO-PyTorch VS Simple-MADRL-Chess
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PPO-PyTorch reviews and mentions
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Where does the loss function for Policy Gradient come from?
It's just very convient implementation wise, in just a few lines you can get the "loss": (from https://github.com/nikhilbarhate99/PPO-PyTorch/blob/master/PPO.py)
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A2C/PPO with continuous action space
In some methods, like the one here, the actor network has two heads, one for the mean and one for the variance. In other methods, like the one here, the network only outputs the mean, while the variance is pre-defined and is decaying throughout the training.
Stats
nikhilbarhate99/PPO-PyTorch is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of PPO-PyTorch is Python.
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