Top 48 a3c open source projects

A3c continuous
A continuous action space version of A3C LSTM in pytorch plus A3G design
Rlcycle
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
Tensorflow Rl
Implementations of deep RL papers and random experimentation
Machin
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Baby A3c
A high-performance Atari A3C agent in 180 lines of PyTorch
Reinforcementlearning Atarigame
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
A3c Pytorch
PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch
Easy Rl
强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
Deep Reinforcement Learning With Pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Torch Ac
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Policy Gradient Methods
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
Pytorch A3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
A3c
MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"
Slm Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Bombora
My experimentations with Reinforcement Learning in Pytorch
Super Mario Bros A3c Pytorch
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Async deep reinforce
Asynchronous Methods for Deep Reinforcement Learning
Reinforcement learning tutorial with demo
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
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Pytorch A3c
Simple A3C implementation with pytorch + multiprocessing
Ai Blog
Accompanying repository for Let's make a DQN / A3C series.
Rl4j
Deep Reinforcement Learning for the JVM (Deep-Q, A3C)
Rl Starter Files
RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code
Deeprl Tensorflow2
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Pysc2 Agents
This is a simple implementation of DeepMind's PySC2 RL agents.
Deep-Reinforcement-Learning-Notebooks
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.
a3c
PyTorch implementation of "Asynchronous advantage actor-critic"
tf-a3c-gpu
Tensorflow implementation of A3C algorithm
pytorch-noreward-rl
pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
cups-rl
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"
Street-fighter-A3C-ICM-pytorch
Curiosity-driven Exploration by Self-supervised Prediction for Street Fighter III Third Strike
deep rl acrobot
TensorFlow A2C to solve Acrobot, with synchronized parallel environments
A3C-Crypto-Trader
Deep Reinforcement Learning A3C Crypto Trading Bot
1-48 of 48 a3c projects