160 Open source projects that are alternatives of or similar to tf-a3c-gpu

Implementations of deep RL papers and random experimentation

Reinforcement Learning for Super Mario Bros using A3C on GPU

Scalable, event-driven, deep-learning-friendly backtesting library

PyTorch implementation of "Asynchronous advantage actor-critic"

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

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

A continuous action space version of A3C LSTM in pytorch plus A3G design

Combining deep learning and reinforcement learning.

A3C LSTM Atari with Pytorch plus A3G design

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

Super Mario Reinforcement Learning from Demonstration

A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)

Cloud-native Financial Reinforcement Learning

Lightweight flow-level simulator for inter-node network and service coordination (e.g., in cloud/edge computing or NFV).

OpenAI's Gym written in pure Rust for blazingly fast performance

Modelica models integration with Open AI Gym

Docker image with OpenAI Gym, Baselines, MuJoCo and Roboschool, utilizing TensorFlow and JupyterLab.

Minimal implementations of reinforcement learning algorithms by Tensorflow

Live Trading. Please star.

OpenAI Gym Hearts Card Game

A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources

用深度强化学习玩合成大西瓜

NEAT for Reinforcement Learning on the OpenAI Gym

Gym environments and agents for autonomous driving.

A collection of multi agent environments based on OpenAI gym.

ns3-gym - The Playground for Reinforcement Learning in Networking Research

Training a Neural Network to play Pong from pixels

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

PySC2 OpenAI Gym Environments

Repository containing Robot Servers ROS packages

Usage of genetic algorithms to train a neural network in multiple OpenAI gym environments.

Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.

Differential Dynamic Programming controller operating in OpenAI Gym environment.

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

An OpenAI Gym interface to Tetris on the NES.

An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)

Make it easy to specify simple MDPs that are compatible with the OpenAI Gym.

Pytorch Implementation of RL algorithms

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

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

Deep Reinforcement Learning A3C Crypto Trading Bot

OpenAI Gym wrapper for ViZDoom enviroments

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

A universal flight control tuning framework

Run OpenAI Gym on a Server

A simple, continuous-control environment for OpenAI Gym

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Pytorch implementation of distributed deep reinforcement learning

No description or website provided.

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

🃏 OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

A platform to test reinforcement learning policies in the datacenter setting.

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro

Curiosity-driven Exploration by Self-supervised Prediction for Street Fighter III Third Strike

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