advantage-actor-critic

ikostrikov/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).

qfettes/DeepRL-Tutorials

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

Kismuz/btgym

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

cpnota/autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

ChenglongChen/pytorch-DRL

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

Omegastick/pytorch-cpp-rl

PyTorch C++ Reinforcement Learning

PacktPublishing/Hands-On-Intelligent-Agents-with-OpenAI-Gym

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

bentrevett/pytorch-rl

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

inoryy/tensorflow2-deep-reinforcement-learning

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

lcswillems/torch-ac

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

CherryPieSexy/imitation_learning

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

jcwleo/curiosity-driven-exploration-pytorch

Curiosity-driven Exploration by Self-supervised Prediction

Urinx/ReinforcementLearning

Reinforcing Your Learning of Reinforcement Learning

rpatrik96/pytorch-a2c

A well-documented A2C written in PyTorch

popovicidaniela/Master-Thesis

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

med-air/DEX

[ICRA 2023] Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot

dionhaefner/yahtzotron

The friendly robot that beats you in Yahtzee 🤖 🎲

monoelh/deep-reinforcement-learning_DDQN_PPO_HER

MLP-framework (pure numpy) and DDQN-framework for OpenAI's Gym games. +test code for PPO added. +Hindsight Experience Replay(HER) bitflip-DQN example. +prioritized replay.

Akella17/Deep-Bayesian-Quadrature-Policy-Optimization

Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.

Po-Hsun-Su/dprl

Deep reinforcement learning package for torch7

chagmgang/pysc2_rl

ayush5harma/Espeon

It's a Raspberry Pi Pokémon that gamifies WiFi Hacking by learning from its surrounding WiFi environment utilising deep Reinforcement Learning.

praveen-palanisamy/Hands-On-Intelligent-Agents-with-OpenAI-Gym

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

nitish-kalan/CartPole-v1-Advantage-Actor-Critic-A2C-Keras

Solving CartPole-v1 environment in Keras with Advantage Actor Critic (A2C) algorithm an Deep Reinforcement Learning algorithm

rystrauss/interact

Implementations of deep reinforcement learning algorithms.

AliBakly/CartPole-A2C-reinforcement-learning

This repository contains the implementation of the K-workers, n-step Advantage Actor-Critic (A2C) algorithm applied to the CartPole environment, as part of a reinforcement learning project for the EPFL Spring Semester 2024 course on Artificial Neural Networks and Reinforcement Learning.

dksifoua/Reinforcement-Learning

LukasDrews97/flappy-bird-reinforcement-learning

Training a Reinforcement Learning Agent to Play Flappy Bird.

dodoseung/a2c-advantage-actor-critic-pytorch

The pytorch implemetation of a2c

KevinMathewT/RL-RoboSoccer-FirstPlace

First Place Reinforcement Learning solution code and a writeup for the AI RoboSoccer Competition.

mingxuanM/Puck_Catching_Agent

RL agent that is trained to catch moving pucks in a complex environment, with DQN, AC, A2C and more.

sunoh-kim/deep-learning

This repository contains my assignment solutions for the Deep Learning course (M2177.003100_002) offered by Seoul National University (Fall 2019).

Aaronaferns/A2CPixelRL

An A2C based Reinforcement Learning for the task of Image Denoising using Reward Map Convolution and RNN based architecture for the Value network. [View Training Visualization on W&B]

eliashornberg/CartPole-A2C-reinforcement-learning

This repository contains the implementation of the K-workers, n-step Advantage Actor-Critic (A2C) algorithm applied to the CartPole environment, as part of a reinforcement learning project for the EPFL Spring Semester 2024 course on Artificial Neural Networks and Reinforcement Learning.

nslyubaykin/relax_a2c_example

Example A2C implementation with ReLAx