pytorch-learn-reinforcement-learning VS Reinforcement_Learning

Compare pytorch-learn-reinforcement-learning vs 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)
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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Reinforcement_Learning

RL Algorithms with examples in Python / Pytorch / Unity ML agents (by rwachters)
reinforcement-learning reinforcement-learning-algorithms unity-ml-agents ddpg-algorithm Python Pytorch jupyter-notebook
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pytorch-learn-reinforcement-learning Reinforcement_Learning
3 1
139 5
- -
0.0 1.9
almost 3 years ago about 1 year ago
Python Jupyter Notebook
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.

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.

What are some alternatives?

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

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

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

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

ML-foundations - Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

tianshou - An elegant PyTorch deep reinforcement learning library.

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

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

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

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

MachineLearningWithPython - Get started with Machine Learning with Python - An introduction with Python programming examples

nes-torch - Minimal PyTorch Library for Natural Evolution Strategies

nlp-class - A Natural Language Processing course taught by Professor Ghassemi

pytorch-learn-reinforcement-learning vs Super-mario-bros-PPO-pytorch Reinforcement_Learning vs TradeMaster pytorch-learn-reinforcement-learning vs Tetris-deep-Q-learning-pytorch Reinforcement_Learning vs ML-foundations pytorch-learn-reinforcement-learning vs tianshou Reinforcement_Learning vs stable-baselines3 pytorch-learn-reinforcement-learning vs 6DRepNet Reinforcement_Learning vs ML-Workspace pytorch-learn-reinforcement-learning vs Amortized-SVGD-GAN Reinforcement_Learning vs MachineLearningWithPython pytorch-learn-reinforcement-learning vs nes-torch Reinforcement_Learning vs nlp-class