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Search results for python actor critic

94 search results found

Reinforcement Learning With Tensorflow ⭐ 8,174

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Cleanrl ⭐ 3,947

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

Reinforcement Learning ⭐ 3,119

Minimal and Clean Reinforcement Learning Examples

Deep Reinforcement Learning With Pytorch ⭐ 2,741

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

Chainerrl ⭐ 1,155

ChainerRL is a deep reinforcement learning library built on top of Chainer.

Soft Actor-Critic

Pytorch A3c ⭐ 768

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

Deeprl Tutorials ⭐ 726

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

Pytorch Rl ⭐ 703

Deep Reinforcement Learning with pytorch & visdom

Rlseq2seq ⭐ 610

Deep Reinforcement Learning For Sequence to Sequence Models

Dissecting Reinforcement Learning ⭐ 585

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Rl_a3c_pytorch ⭐ 535

A3C LSTM Atari with Pytorch plus A3G design

Tensorflow Reinforce ⭐ 477

Implementations of Reinforcement Learning Models in Tensorflow

Pytorch Soft Actor Critic ⭐ 414

PyTorch implementation of soft actor critic

Reinforcement Learning Algorithms ⭐ 407

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)

DrQ: Data regularized Q

Machine Learning Is All You Need ⭐ 337

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Openai_lab ⭐ 314

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

Pytorch A3c ⭐ 289

Simple A3C implementation with pytorch + multiprocessing

Hands On Intelligent Agents With Openai Gym ⭐ 280

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

Actor-critic with experience replay

Reinforcement Learning Kr ⭐ 238

[파이썬과 케라스로 배우는 강화학습] 예제

Adeptrl ⭐ 178

Reinforcement learning framework to accelerate research

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

Hierarchical Actor Critic Hac Pytorch ⭐ 154

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

Baby A3c ⭐ 153

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

Torch Ac ⭐ 134

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

Overcoming Exploration From Demos ⭐ 117

Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI

Paddle Rlbooks ⭐ 108

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

Mlds2018spring ⭐ 106

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Episodic Transformer Memory Ppo ⭐ 99

Clean baseline implementation of PPO using an episodic TransformerXL memory

Soft Actor Critic And Extensions ⭐ 87

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

Reinforcementlearning Atarigame ⭐ 87

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

Run Skeleton Run ⭐ 81

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

Explorer ⭐ 68

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Deep_rl_zoo ⭐ 65

A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.

Pytorch A3c Mujoco ⭐ 62

Implement A3C for Mujoco gym envs

Cs294 112_hws ⭐ 62

My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning

Actor_critic ⭐ 59

This is the code for "Actor Critic Algorithms" by Siraj Raval on Youtube

Mario_rl ⭐ 57

Off Policy Continuous Control ⭐ 53

Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL WS, NeurIPS 21)

JAX implementations of core Deep RL algorithms

Fruit Api ⭐ 50

A Universal Deep Reinforcement Learning Framework

Advanced Soft Actor Critic ⭐ 39

Soft Actor-Critic with advanced features

Deep_control ⭐ 38

Deep Reinforcement Learning for Continuous Control in PyTorch

Pytorch_sac_ae ⭐ 38

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

Oac Explore ⭐ 29

Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)

Marlclassification ⭐ 27

Image classification using reinforcement learning and multi-agent system

Reinforcement_learning_with_tensorflow ⭐ 25

Minimal implementations of reinforcement learning algorithms by Tensorflow

Advantage weighted Actor Critic for Offline RL

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

Soft Actor Critic ⭐ 22

Under development / TF2 Implementation of the Soft Actor-Critic Algorithm

Meta Sac ⭐ 18

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

Actor Critic using Kronecker-Factored Trust Region

Deep Rl Toolkit ⭐ 15

RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

PyTorch implementation of both discrete and continuous ACER

Rl_algos ⭐ 14

Reinforcement Learning Algorithms

Actor Critic Based Resource Allocation For Multimodal Optical Networks ⭐ 12

Source code of 2018 GLOBECOM paper named "Actor-Critic-Based Resource Allocation for Multimodal Optical Networks"

Actor Critic Pytorch ⭐ 12

Policy Gradient Actor-Critic PyTorch | Lunar Lander v2

Deep Rl Torcs ⭐ 12

Autonomous Navigation using Deep Reinforcement Learning

Deeper_larger_actor Critic_rl ⭐ 11

Pytorch implementation of large network design in continous control RL.

Pytorch A2c ⭐ 10

A well-documented A2C written in PyTorch

Soft Actor Critic ⭐ 10

Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.

Cat_mouse_continuous_rl ⭐ 10

Using DDPG and A2C reinforcement learning algorithms to solve a math puzzle

Policy_based_rl ⭐ 10

The implement of the policy gradient RL algorithm with pytorch

Async_rl ⭐ 10

Python implementation of tabular asynchronous actor critic

Ac Tagger ⭐ 9

Pacman Rl ⭐ 9

Implement some reinforcement learning algorithms, test and visualize on Pacman.

Entropy Regularized Rl ⭐ 9

soft q learning and soft actor critic

Deep Bayesian Quadrature Policy Optimization ⭐ 9

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

Distributed Drl Coordination ⭐ 9

Distributed Online Service Coordination Using Deep Reinforcement Learning

Worldmodels A3c ⭐ 9

World Models with A3C on Carracing-v0 in gym

Navigation Her ⭐ 9

2D Gridworld navigation using RL with Hindsight Experience Replay

Deeprl P2 Continuous Control ⭐ 9

Project 2 of Udacity's Deep Reinforcement Learning nanodegree program

Actor Critic Algs On Tensorflow ⭐ 8

Distributed RL implementations

Deep Reinforcement Learning With Pytorch ⭐ 8

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

Deep reinforcement learning framework for fast prototyping based on PyTorch

Multi-agent reinforcement learning framework

A Torch Based RL Framework for Rapid Prototyping of Research Papers

Reinforcement Learning ⭐ 7

Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.

Job_shop_scheduling_problem_with_reinforcement_learning ⭐ 7

This is the implemention of JSSP with RL. The framework used for RL is actor critic and the dataset comes from Tianchi competition.

Actor Prioritized Experience Replay

Reinforcement Learning Experiments ⭐ 7

Reinforcement learning experiments with Tic Tac Toe, especially with "logical representations"

A3C Algorithm for classic Atari games

Vusfa Variational Universal Successor Features Approximator ⭐ 7

This repository contains implementations of the paper VUSFA

Introduction to Reinforcement Learning in Python

Expert-augmented actor-critic

Implicit Distributional Actor Critic

Ac Off Poc ⭐ 6

Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning

Implementation of Soft Actor-Critic (SAC) algorithm using TensorFlow 2.1.0

Author's PyTorch implementation of Attentive Update of Multi-Critic for Deep Reinforcement Learning (AUMC) for OpenAI gym tasks.

Aocnr2023 A2cbf ⭐ 5

Using step-by-step tutorial in implementing the technique discussed in the paper titled "Actor-Critic Bilateral Filter for High-Stability Edge-Preserving T2-FLAIR MRI Image Denoising" was presented at the 14th Asian-Oceanian Congress of Neuroradiology held in Singapore in conjunction with SGCR-WIRES.

Wegs Drl Baselines ⭐ 5

Minimum viable reinforcement learning algorithms for your educational convenience.

Actor Critic ⭐ 5

Implementation of A2C and ACKTR in TensorFlow.

Sim To Real Transfer Of Reinforcement Learning Policies In Robotics ⭐ 5

The repository is intended as a support tool for the report of the project "Sim to Real transfer of Reinforcement Learning Policies in Robotics" and it contains examples of some well-known algorithms and methods in the fields of Reinforcement Learning and Sim-to-Real transfer. The implementation is not thought to be efficient, thus we suggest you to avoid using this repo for purposes other than educational.

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