nes-torch VS pytorch-learn-reinforcement-learning

Compare nes-torch vs pytorch-learn-reinforcement-learning and see what are their differences.

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. (by gordicaleksa)
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nes-torch pytorch-learn-reinforcement-learning
3 3
17 143
- -
3.6 0.0
over 2 years ago about 3 years ago
Python Python
MIT License MIT License
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nes-torch

Posts with mentions or reviews of nes-torch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-02.

pytorch-learn-reinforcement-learning

Posts with mentions or reviews of pytorch-learn-reinforcement-learning. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing nes-torch and pytorch-learn-reinforcement-learning you can also consider the following projects:

pipcs - PIPCS is Python Configuration System

Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

simple-es - Simple implementations of multi-agent evolutionary strategies using pytorch.

Tetris-deep-Q-learning-pytorch - Deep Q-learning for playing tetris game

PPO-PyTorch - Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

tianshou - An elegant PyTorch deep reinforcement learning library.

HandyRL - HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

6DRepNet - Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.

de-torch - Minimal PyTorch Library for Differential Evolution

Amortized-SVGD-GAN - Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning

pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Reinforcement_Learning - RL Algorithms with examples in Python / Pytorch / Unity ML agents