212 Open source projects that are alternatives of or similar to Pytorch A3c

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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PyTorch implementation of Soft Actor-Critic (SAC)

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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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Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Reinforcement Learning for Super Mario Bros using A3C on GPU

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A3C LSTM Atari with Pytorch plus A3G design

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

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Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

Minimal and Clean Reinforcement Learning Examples

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

asynchronous task queues using python's multiprocessing library

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No description or website provided.

cURL wrapper for PHP. Supports parallel and non-blocking requests. For high speed crawling, see stil/curl-robot

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Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

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Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

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Environment that can be used to evaluate reasoning capabilities of artificial agents

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

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RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code

Handler for logging from multiple processes

Tensorflow implementation of A3C algorithm

This repo parallelizes mAP_evaluation using python's multiprocessing module.

Multi threading and processing eye-candy.

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High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features

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Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3

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