nes-torch
PPO-PyTorch
| nes-torch | PPO-PyTorch | |
|---|---|---|
| 3 | 2 | |
| 17 | 1,493 | |
| - | - | |
| 3.6 | 2.8 | |
| over 2 years ago | 5 months ago | |
| Python | Python | |
| MIT License | MIT License |
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nes-torch
PPO-PyTorch
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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.
What are some alternatives?
pipcs - PIPCS is Python Configuration System
HandyRL - HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
pytorch-learn-reinforcement-learning - A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.
l2rpn-baselines - L2RPN Baselines a repository to host baselines for l2rpn competitions.
simple-es - Simple implementations of multi-agent evolutionary strategies using pytorch.
Pytorch-PCGrad - Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
de-torch - Minimal PyTorch Library for Differential Evolution
pytorch-accelerated - A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required. Docs: https://pytorch-accelerated.readthedocs.io/en/latest/
autonomous-learning-library - A PyTorch library for building deep reinforcement learning agents.
recurrent-ppo-truncated-bptt - Baseline implementation of recurrent PPO using truncated BPTT