pytorch-learn-reinforcement-learning VS HandyRL

Compare pytorch-learn-reinforcement-learning vs HandyRL 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)

HandyRL

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments. (by DeNA)
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pytorch-learn-reinforcement-learning HandyRL
3 1
143 282
- 0.0%
0.0 4.3
about 3 years ago 25 days 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.

HandyRL

Posts with mentions or reviews of HandyRL. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

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

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adaptdl - Resource-adaptive cluster scheduler for deep learning training.

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

FedML - FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

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.

nes-torch - Minimal PyTorch Library for Natural Evolution Strategies

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

determined - Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.