959 Open source projects that are alternatives of or similar to Fruit-API

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Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym

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

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

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PyTorch implementation of Soft Actor-Critic (SAC)

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

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Sandbox freestyle multiplayer game/engine in LÖVE/LUA.

An inspiration of the original Atari Space Invaders game built in pygame 👾 🎮

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DrQ: Data regularized Q

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Reinforcement Learning algorithm's using google-colab

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

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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PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

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