GitHub topics: a3c-lstm
CVHvn/Mario_A2C_A3C
Playing Super Mario Bros with Advantage Actor Critic (A2C) and Asynchronous Advantage Actor Critic (A3C)
Language: Python - Size: 447 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

Nasdin/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
Language: Python - Size: 113 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 182 - Forks: 38

QasimWani/policy-value-methods
Deep Reinforcement Learning algorithms for Policy Value methods written from scratch.
Language: Python - Size: 389 MB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 23 - Forks: 5

gianluca-maselli/A3C
PyTorch implementation of A3C (Asynchronous Advantage Actor Critic)
Language: Python - Size: 9.54 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 5 - Forks: 0

dgriff777/a3c_continuous
A continuous action space version of A3C LSTM in pytorch plus A3G design
Language: Python - Size: 62.1 MB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 258 - Forks: 59

khaz-dev/AI_KungFuMaster_A3C
Implement A3C to Train KungFu Master
Language: Jupyter Notebook - Size: 343 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

FYT3RP4TIL/A3C-GoogleDeepMind-OpenAIGym-KungFuMaster
Implementation of the World's most Advance AI Algorithm (Jan 2024) A3C created by GoogleDeepMind combining DQN with Deep Policy Network, uses multiple agents ot learn faster and reduce training time.
Language: Jupyter Notebook - Size: 175 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

devendrachaplot/DeepRL-Grounding
Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)
Language: Python - Size: 18 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 236 - Forks: 37

Chang-Chia-Chi/Sonic-the-Hedgehog-A3C-LSTM-tensorflow2
Asynchronous Advantage Actor-Critic (A3C+LSTM) for Sonic the Hedgehog using Tensorflow 2
Language: Python - Size: 48.6 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 0

gpzlx1/RL-A3C-Riverraid-v0
A simple implementation of A3C for atari game Riverraid-v0 from scratch.
Language: Python - Size: 12.8 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

Deepest-Project/WorldModels-A3C
World Models with A3C on Carracing-v0 in gym
Language: Python - Size: 2.03 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 27 - Forks: 9

sadeqa/Super-Mario-Bros-RL
This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros
Language: Jupyter Notebook - Size: 241 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 71 - Forks: 14

mabirck/AttentionTRL
Attentional Mechanism incorporated in Asynchronous Advantage Actor Critic a3c/a2c deep mind
Language: Python - Size: 3.04 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 1

BKHMSI/Meta-RL-Harlow
PyTorch implementation of two variants of the Harlow visual fixation task (PsychLab and 1D version). Reproduces the results found in two papers. Check the ReadMe for more details!
Language: Python - Size: 30.3 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 8 - Forks: 1

nicklashansen/a3c
Asynchronous Advantage Actor-Critic using Generalized Advantage Estimation (PyTorch)
Language: Python - Size: 1.27 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

ManuOtel/A3C-Mobile-Robot
Research Project in A3C reinforcement learning algorithm used for path finding mobile robots
Language: Python - Size: 678 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

JanGaida/super-mario-bros-with-a3c
Deep-Reinforcement-Learning with A3C in 'Super Mario Bros' (NES, 1985)
Language: Python - Size: 292 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

ArvindSoma/a3c-super-mario-pytorch
Reinforcement Learning for Super Mario Bros using A3C on GPU
Language: Python - Size: 15.4 MB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 35 - Forks: 11

Nagaraj-U/Breakout-A3C
Implementing A3C algorithm to teach AI to make Breakout Work using deep Q-learning.
Language: Python - Size: 409 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

marctuscher/a3c-cont
Asynchronous Advantage Actor Critic Algorithm for RL Problems with continuous action space.
Language: Python - Size: 36.1 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

mynkpl1998/A3C
This repository contains high quality and tested implementation of Asynchronous Actor Critic Algorithm
Language: Dockerfile - Size: 5.04 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
