60 Open Source A3c Software Projects
Free and open source a3c code projects including engines, APIs, generators, and tools.
Reinforcement Learning With Tensorflow 6293 ⭐
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Minimalrl 1551 ⭐
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Deep Reinforcement Learning With Pytorch 1408 ⭐
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Ikostrikov Pytorch A3c 886 ⭐
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Slm Lab 836 ⭐
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Super Mario Bros A3c Pytorch 714 ⭐
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Reinforcement_learning_tutorial_with_demo 458 ⭐
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..
Deep Rl Keras 345 ⭐
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Rl Starter Files 274 ⭐
RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code
Deeprl Tensorflow2 225 ⭐
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Rlcycle 149 ⭐
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
Street Fighter A3c Icm Pytorch 113 ⭐
Curiosity-driven Exploration by Self-supervised Prediction for Street Fighter III Third Strike
A3c Pytorch 106 ⭐
PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch
Reinforcementlearning Atarigame 124 ⭐
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 Noreward Rl 72 ⭐
pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
Cyoon1729 Policy Gradient Methods 49 ⭐
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
Deep Reinforcement Learning Applied To Doom 56 ⭐
DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
Async Rl 46 ⭐
Variation of "Asynchronous Methods for Deep Reinforcement Learning" with multiple processes generating experience for agent (Keras + Theano + OpenAI Gym)[1-step Q-learning, n-step Q-learning, A3C]
Torch Ac 80 ⭐
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Machin 87 ⭐
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
A3c_keras_flappybird 35 ⭐
Use Asynchronous advantage actor-critic algorithm (A3C) to play Flappy Bird using Keras
A3c Continuous 34 ⭐
Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space
A3c Distributed_tensorflow 31 ⭐
Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning
Cups Rl 28 ⭐
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"
Reinforcement_learning_with_tensorflow 27 ⭐
Minimal implementations of reinforcement learning algorithms by Tensorflow
Popovicidaniela Master Thesis 25 ⭐
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
L2rpn Using A3c 17 ⭐
Reinforcement Learning using the Actor-Critic framework for the L2RPN challenge (https://l2rpn.chalearn.org/ & https://competitions.codalab.org/competitions/22845#learn_the_details-overview). The agent trained using this code was one of the winners of the challenge. The code runs on the pypownet environment (https://github.com/MarvinLer/pypownet). It is released under a license of LGPLv3
Happywu A3c 11 ⭐
MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"