a2c

There are 192 repositories under a2c topic.

  • cleanrl

    High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

    Language:Python4.7k
  • Reinforcement-Learning

    Reinforcement-Learning

    Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

    Language:Jupyter Notebook4.1k

  • Deep_reinforcement_learning_Course

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

    Language:Jupyter Notebook3.7k

  • Deep-reinforcement-learning-with-pytorch

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

    Language:Python3.7k

  • ElegantRL

    Massively Parallel Deep Reinforcement Learning. 🔥

    Language:Python3.5k

  • pytorch-a2c-ppo-acktr-gail

    PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

    Language:Python3.5k

  • DeepRL

    Modularized Implementation of Deep RL Algorithms in PyTorch

    Language:Python3.1k

  • minimalRL

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

    Language:Python2.8k
  • SLM-Lab

    SLM-Lab

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

    Language:Python1.2k

  • PyTorch-RL

    PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

    Language:Python1.1k

  • DeepRL-Tutorials

    Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

    Language:Jupyter Notebook1k

  • reinforcement-learning-algorithms

    This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

    Language:Python651

  • autonomous-learning-library

    A PyTorch library for building deep reinforcement learning agents.

    Language:Python640

  • rl-starter-files

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

    Language:Python627

  • Deep-Reinforcement-Learning-Algorithms

    32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

    Language:Jupyter Notebook620

  • DeepRL-TensorFlow2

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

    Language:Python586

  • Deep-RL-Keras

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

    Language:Python525

  • pytorch-cpp-rl

    PyTorch C++ Reinforcement Learning

    Language:C++507

  • pytorch-DRL

    PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

    Language:Python507
  • xuance

    xuance

    XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

    Language:Python488

  • deep_rl

    PyTorch implementation of deep reinforcement learning algorithms

    Language:Python485

  • Reinforcement_Learning

    Reinforcement learning tutorials

    Language:Python355

  • Deep-Reinforcement-Learning-With-Python

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

    Language:Jupyter Notebook312

  • RLcycle

    A library for ready-made reinforcement learning agents and reusable components for neat prototyping

    Language:Python295

  • pytorch-rl

    Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

    Language:Jupyter Notebook257

  • tensorflow2-deep-reinforcement-learning

    Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

    Language:Jupyter Notebook209

  • Deep_RL_with_pytorch

    A pytorch tutorial for DRL(Deep Reinforcement Learning)

    Language:Jupyter Notebook200

  • torch-ac

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

    Language:Python190

  • A2C

    A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

    Language:Python182

  • pysc2-rl-agents

    StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

    Language:Python134

  • imitation_learning

    PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

    Language:Python129

  • deep-reinforcement-learning-drone-control

    A drone control system based on deep reinforcement learning with Tensorflow and ROS

    Language:Python105

  • Reinforcement-Learning

    Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch

    Language:Jupyter Notebook103

  • sc2aibot

    Implementing reinforcement-learning algorithms for pysc2 -environment

    Language:Python90

  • Policy-Gradient-Methods

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

    Language:Jupyter Notebook89

  • Deep-Reinforcement-Learning-with-pytorch

    Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO

    Language:Python83