Reinforcement_Learning VS pytorch-learn-reinforcement-learning

Compare Reinforcement_Learning 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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Reinforcement_Learning pytorch-learn-reinforcement-learning
1 3
5 143
- -
1.9 0.0
about 1 year ago about 3 years ago
Jupyter Notebook Python
MIT License MIT License
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Reinforcement_Learning

Posts with mentions or reviews of Reinforcement_Learning. We have used some of these posts to build our list of alternatives and similar projects.
  • Neural networks in Unity 3D
    1 project | /r/reinforcementlearning | 14 Jan 2022
    Check out my github repository. It's not really a "neural network library" yet, but it includes a simple example to get started with Unity ML agents and the Python API. I've implemented only the DDPG algorithm so far.

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 Reinforcement_Learning and pytorch-learn-reinforcement-learning you can also consider the following projects:

TradeMaster - TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:

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