pytorch-learn-reinforcement-learning VS nes-torch

Compare pytorch-learn-reinforcement-learning vs nes-torch 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)
Python Deep Learning Jupyter Pytorch rl reinforcement-learning reinforcement-learning-algorithms Ppo policy-gradient Dqn pytorch-implementation deep-q-network pytorch-dqn pytorch-policy-gradient pytorch-ppo
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nes-torch

Minimal PyTorch Library for Natural Evolution Strategies (by goktug97)
reinforcement-learning evolution-strategy evolution-strategies evolutionary-algorithms policy-gradient Pytorch natural-evolution-strategies
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pytorch-learn-reinforcement-learning nes-torch
3 3
139 17
- -
0.0 3.6
almost 3 years ago over 2 years ago
Python Python
MIT License MIT License
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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.

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.

What are some alternatives?

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

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

pipcs - PIPCS is Python Configuration System

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

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

tianshou - An elegant PyTorch deep reinforcement learning library.

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

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

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

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

de-torch - Minimal PyTorch Library for Differential Evolution

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

pytorch-learn-reinforcement-learning vs Super-mario-bros-PPO-pytorch nes-torch vs pipcs pytorch-learn-reinforcement-learning vs Tetris-deep-Q-learning-pytorch nes-torch vs simple-es pytorch-learn-reinforcement-learning vs tianshou nes-torch vs PPO-PyTorch pytorch-learn-reinforcement-learning vs 6DRepNet nes-torch vs HandyRL pytorch-learn-reinforcement-learning vs Amortized-SVGD-GAN nes-torch vs de-torch pytorch-learn-reinforcement-learning vs pytorch-GAT pytorch-learn-reinforcement-learning vs Reinforcement_Learning