gdrl VS Reinforcement-Learning

Compare gdrl vs Reinforcement-Learning and see what are their differences.

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gdrl Reinforcement-Learning
1 1
747 4,091
- -
10.0 0.0
about 2 years ago almost 4 years ago
Jupyter Notebook Jupyter Notebook
BSD 3-clause "New" or "Revised" License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

gdrl

Posts with mentions or reviews of gdrl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-03.

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.

What are some alternatives?

When comparing gdrl and Reinforcement-Learning you can also consider the following projects:

deep-rl-class - This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

World4AI - World4AI is an educational resource for AI.

FinRL-Library - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]

Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.

DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

baselines - OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Stock-Prediction-Models - Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Practical_RL - A course in reinforcement learning in the wild

snakeAI - testing MLP, DQN, PPO, SAC, policy-gradient by snake

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

TradingGym - Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.