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173 search results found

Reinforcement Learning With Tensorflow ⭐ 8,174

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Easy Rl ⭐ 7,643

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github

Tensorlayer ⭐ 7,288

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

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 ....

Minimalrl ⭐ 2,417

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

Slm Lab ⭐ 1,052

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

PFRL: a PyTorch-based deep reinforcement learning library

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

Pytorch A3c ⭐ 768

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

Super Mario Bros A3c Pytorch ⭐ 735

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Pytorch Rl ⭐ 703

Deep Reinforcement Learning with pytorch & visdom

Rl Starter Files ⭐ 619

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

Async_deep_reinforce ⭐ 560

Asynchronous Methods for Deep Reinforcement Learning

Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.

Rl_a3c_pytorch ⭐ 535

A3C LSTM Atari with Pytorch plus A3G design

Deep Rl Keras ⭐ 521

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

A3c_trading ⭐ 378

Trading with recurrent actor-critic reinforcement learning

Async Rl ⭐ 372

Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)

Reinforcement_learning_tutorial_with_demo ⭐ 357

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..

Meta Rl ⭐ 332

Implementation of Meta-RL A3C algorithm

Pytorch A3c ⭐ 289

Simple A3C implementation with pytorch + multiprocessing

Pysc2 Agents ⭐ 271

This is a simple implementation of DeepMind's PySC2 RL agents.

Reinforcement_learning ⭐ 250

Reinforcement learning tutorials

A3c_continuous ⭐ 248

A continuous action space version of A3C LSTM in pytorch plus A3G design

Rlcycle ⭐ 242

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

Actor-critic with experience replay

Reinforcement Learning Kr ⭐ 238

[파이썬과 케라스로 배우는 강화학습] 예제

Pytorch Actorcriticrl ⭐ 221

PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.

Deeprl Grounding ⭐ 213

Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Neural Localization ⭐ 173

Train an RL agent to localize actively (PyTorch)

Tensorflow Rl ⭐ 173

Implementations of deep RL papers and random experimentation

Noisynet A3c ⭐ 169

Noisy Networks for Exploration

MINOS: Multimodal Indoor Simulator

Baby A3c ⭐ 153

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

Dqn_tensorflow ⭐ 152

Tensorflow implementation of deep Q networks in paper 'Playing Atari with Deep Reinforcement Learning'

Deeprl Tensorflow2 ⭐ 139

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

Torch Ac ⭐ 134

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

Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)

Street Fighter A3c Icm Pytorch ⭐ 106

Curiosity-driven Exploration by Self-supervised Prediction for Street Fighter III Third Strike

A3c Pytorch ⭐ 105

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

Pysc2 Rl Agents ⭐ 99

StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

Deep Reinforcement Learning With Python ⭐ 94

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

Reinforcement Learning ⭐ 93

Reinforcement learning baseline agent trained with the Actor-critic (A3C) algorithm.

Reinforce_py ⭐ 91

Reinforcement Learning in Python

Rl Examples ⭐ 88

Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow

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

Sc2aibot ⭐ 84

Implementing reinforcement-learning algorithms for pysc2 -environment

Combining deep learning and reinforcement learning.

Async Deep Rl ⭐ 68

A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783

Pytorch A3c Mujoco ⭐ 62

Implement A3C for Mujoco gym envs

Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.

Reinforcement Learning framework to facilitate development and use of scalable RL algorithms and applications

Deep Reinforcement Learning Applied To Doom ⭐ 57

DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM

Super Mario Bros Rl ⭐ 57

This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros

Reinforcepy ⭐ 54

Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

Distributed Ba3c ⭐ 51

Fruit Api ⭐ 50

A Universal Deep Reinforcement Learning Framework

Tf A3c Gpu ⭐ 48

Tensorflow implementation of A3C algorithm

Async Rl ⭐ 44

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]

Pytorch_a3c ⭐ 39

Reinforcement Learning ⭐ 39

Personal experiments on Reinforcement Learning

Dist A3c ⭐ 38

Distributed A3C

A3c Lstm ⭐ 37

A3C-LSTM algorithm tested on CartPole OpenAI Gym environment

TensorFlow implementation of asynchronous advantage actor-critic (A3C)

Policy Gradient Methods ⭐ 35

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

Q Optimality Tightening ⭐ 34

This is my implementation of the Optimality Tightening

Rl Gallery ⭐ 34

A gallery for reinforcement learning, including frameworks, tutorials, papers, implementations, applications, etc.

Reinforcement Learning Kr V2 ⭐ 33

[파이썬과 케라스로 배우는 강화학습] 텐서플로우 2.0 개정판 예제

A3c_keras_flappybird ⭐ 32

Use Asynchronous advantage actor-critic algorithm (A3C) to play Flappy Bird using Keras

Pysc2 Rlagents ⭐ 32

Notes and scripts for SC2LE released by DeepMind and Blizzard, more details [here](https://github.com/deepmind/pysc2).

A2oc_delib ⭐ 30

A3C style Option-Critic with deliberation cost

A3c Distributed_tensorflow ⭐ 30

Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning

Deep_rl_acrobot ⭐ 30

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

☔ Deep RL agents with PyTorch☔

A3c Super Mario Pytorch ⭐ 28

Reinforcement Learning for Super Mario Bros using A3C on GPU

Deep Rl Agents ⭐ 28

Async Deep Flappybird ⭐ 28

Using Asynchronous Deep Reinforcement Learning to play Flappy Bird from pixel input.

A3c Continuous ⭐ 27

Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space

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"

A3c Mujoco ⭐ 26

Batch A3c_tensorflow ⭐ 25

Modified tensorflow implementation of 'Asynchronous Methods for Deep Reinforcement Learning'

Tutorial4rl ⭐ 25

Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.

Radial_rl ⭐ 25

Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"

Tensorpoker ⭐ 25

Deep RL based poker bot

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

Reinforcement_learning_with_tensorflow ⭐ 25

Minimal implementations of reinforcement learning algorithms by Tensorflow

Simple Reinforcement Learning Framework

Awesome Deep Reinforcement Learning ⭐ 21

A collection of resources about deep reinforcement learning

Asynchronous Advantage Actor Critic

PyTorch implementation of "Asynchronous advantage actor-critic"

A3c Crypto Trader ⭐ 20

Deep Reinforcement Learning A3C Crypto Trading Bot

Deep_rl_vizdoom ⭐ 19

Deep reinforcement learning in ViZDoom (using Tensorflow)

My experimentations with Reinforcement Learning in Pytorch

Deep Reinforcement Learning

Neuralabr Pensieve Ppo Maml ⭐ 18

use PPO and A2C to learn an optimal bitrate adaptation policy for traditional video streaming. These algorithms were implemented with Pytorch and python3.6

Reinforcement learning in 3D.

1-100 of 173 search results

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