396 Open source projects that are alternatives of or similar to DQN-using-PyTorch-and-ML-Agents

Repo for the Deep Reinforcement Learning Nanodegree program

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PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Minimal and Clean Reinforcement Learning Examples

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The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

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Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

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This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

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This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

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playing idealized trading games with deep reinforcement learning

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Implementations of Reinforcement Learning Models in Tensorflow

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

TensorFlow implementation of Deep Reinforcement Learning papers

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