67 Open source projects that are alternatives of or similar to rl-bigwatermelon

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

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Deep Reinforcement Learning A3C Crypto Trading Bot

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

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A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

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PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

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

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"

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

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A3C LSTM Atari with Pytorch plus A3G design

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TensorFlow A2C to solve Acrobot, with synchronized parallel environments

This is a simple implementation of DeepMind's PySC2 RL agents.

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

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

PyTorch implementation of "Asynchronous advantage actor-critic"

Reinforcement Learning for Super Mario Bros using A3C on GPU

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

A simple, continuous-control environment for OpenAI Gym

Reinforcement learning tutorials

Minimal implementations of reinforcement learning algorithms by Tensorflow

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

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

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

RealAnt robot platform for low-cost, real-world reinforcement learning

My experimentations with Reinforcement Learning in Pytorch

React Native App using react, redux, sagas, hooks, react navigation v5

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Combining deep learning and reinforcement learning.

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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Asynchronous Methods for Deep Reinforcement Learning

An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Robotic simulation in Unity with ROS integration.

Simple A3C implementation with pytorch + multiprocessing

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

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

Implementations of deep RL papers and random experimentation

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Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Simulator for Reinforcement Learning and AI. 2D environments with physics and interactive entities. Agents with rich sensors and actuators.

Modelica models integration with Open AI Gym

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A high-performance Atari A3C agent in 180 lines of PyTorch