advantage-actor-critic

There are 6 repositories under advantage-actor-critic topic.

vwxyzjn / cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
a2c actor-critic advantage-actor-critic ale atari deep-learning deep-reinforcement-learning gym machine-learning phasic-policy-gradient ppo proximal-policy-optimization python pytorch reinforcement-learning wandb
Language:Python 7861
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).
pytorch reinforcement-learning deep-learning deep-reinforcement-learning actor-critic advantage-actor-critic a2c ppo proximal-policy-optimization acktr second-order hessian natural-gradients atari mujoco roboschool continuous-control kfac kronecker-factored-approximation ale
Language:Python 3830
qfettes / DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
a2c actor-critic advantage-actor-critic categorical-dqn deep-q-network deep-recurrent-q-network deep-reinforcement-learning deeprl-tutorials double-dqn dueling-dqn gae multi-step-learning noisy-networks ppo prioritized-experience-replay python3 pytorch quantile-regression rainbow reinforcement-learning
Language:Jupyter Notebook 1079
Kismuz / btgym
Scalable, event-driven, deep-learning-friendly backtesting library
reinforcement-learning deep-reinforcement-learning gym-environment openai-gym backtesting-trading-strategies algorithmic-trading-library time-series a3c tensorflow backtrader unreal advantage-actor-critic policy-optimisation policy-gradient quantitive-finance algoritmic-trading statistical-arbitrage hacktoberfest
Language:Python 1017
cpnota / autonomous-learning-library
A PyTorch library for building deep reinforcement learning agents.
reinforcement-learning reinforcement-learning-algorithms deep-reinforcement-learning soft-actor-critic proximal-policy-optimization deep-q-learning advantage-actor-critic deep-deterministic-policy-gradient sac a2c ddpg ppo dqn dqn-pytorch
Language:Python 651
ChenglongChen / pytorch-DRL
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
pytorch deep-reinforcement-learning multi-agent deep-q-network actor-critic advantage-actor-critic a2c proximal-policy-optimization ppo deep-deterministic-policy-gradient ddpg acktr rl drl madrl dqn reinforcement-learning
Language:Python 598
Omegastick / pytorch-cpp-rl
PyTorch C++ Reinforcement Learning
pytorch cpp cplusplus reinforcement-learning reinforcement-learning-algorithms a2c ppo pytorch-rl pytorch-cpp-frontend libtorch actor-critic advantage-actor-critic proximal-policy-optimization continuous-control
Language:C++ 524
Hands-On-Intelligent-Agents-with-OpenAI-Gym
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
intelligent-agents deep-reinforcement-learning openai-gym carla-simulator dqn pytorch learning-agents pytorch-a3c pytorch-carla advantage-actor-critic carla-driving-simulator actor-critic
Language:Python 387
bentrevett / pytorch-rl
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
pytorch pytorch-tutorial pytorch-implmention pytorch-implementation reinforcement-learning reinforcement-learning-algorithms rl pytorch-tutorials pytorch-rl policy-gradient actor-critic a2c advantage-actor-critic generalized-advantage-estimation
Language:Jupyter Notebook 285
inoryy / tensorflow2-deep-reinforcement-learning
Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"
tensorflow tensorflow2 keras deep-reinforcement-learning advantage-actor-critic a2c
Language:Jupyter Notebook 206
lcswillems / torch-ac
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
pytorch reinforcement-learning actor-critic deep-reinforcement-learning multi-process minigrid a2c a3c ppo advantage-actor-critic proximal-policy-optimization recurrent reward-shaping recurrent-neural-networks
Language:Python 205
CherryPieSexy / imitation_learning
PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
a2c advantage-actor-critic deep-learning deep-reinforcement-learning gail gail-ppo imitation-learning policy-gradient ppo ppo-algo ppo-pytorch proximal-policy-optimization pytorch recurrent-ppo reinforcement-learning
Language:Python 146
jcwleo / curiosity-driven-exploration-pytorch
Curiosity-driven Exploration by Self-supervised Prediction
icm curiosity-driven reinforcement-learning pytorch advantage-actor-critic proximal-policy-optimization
Language:Python 140
Urinx / ReinforcementLearning
Reinforcing Your Learning of Reinforcement Learning
reinforcement-learning alphago-zero mcts q-learning policy-gradient gomoku frozenlake doom cartpole tic-tac-toe atari-2600 space-invaders ppo advantage-actor-critic dqn alphago ddpg
Language:Python 95
rpatrik96 / pytorch-a2c
A well-documented A2C written in PyTorch
python3 python pytorch pytorch-implementation pytorch-tutorial a2c advantage actor-critic advantage-actor-critic deep-learning deep-neural-networks deep-reinforcement-learning reinforcement-learning reinforcement-learning-algorithms reinforcement-learning-agent stable-baselines baselines openai-gym episode-rollout
Language:Python 52
med-air / DEX
[ICRA 2023] Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
advantage-actor-critic automation-robotics ddpg goal-conditioned-rl hindsight-experience-replay pytorch-rl reinforcement-learning sac sqil surgical-robots awac gail
Language:Python 43
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
torcs reinforcement-learning a3c actor-critic reinforcement-learning-algorithms tensorflow gym-torcs autonomous-driving deep-reinforcement-learning deep-learning deep-neural-networks python-3-5 tensorboard multi-threading multithreading python numpy asynchronous advantage-actor-critic latex
Language:TeX 37
dionhaefner / yahtzotron
The friendly robot that beats you in Yahtzee 🤖 🎲
yahtzee yatzy reinforcement-learning advantage-actor-critic haiku jax
Language:Python 22
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.
openai-gym numpy game ddqn-framework mlp-framework deep-reinforcement-learning deep-q-network ppo policy-network advantage-actor-critic ddqn prioritized-replay hindsight-experience-replay
Language:Jupyter Notebook 19
Akella17 / Deep-Bayesian-Quadrature-Policy-Optimization
Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.
reinforcement-learning policy-gradient gaussian-processes actor-critic probablistic-numerics deep-reinforcement-learning deep-learning pytorch advantage-actor-critic trust-region-policy-optimization natural-policy-gradient monte-carlo bayesian-quadrature mujoco roboschool continuous-control
Language:Python 16
Po-Hsun-Su / dprl
Deep reinforcement learning package for torch7
advantage-actor-critic deep-reinforcement-learning dqn torch7
Language:Lua 16
chagmgang / pysc2_rl
pysc2 pysc2-mini-games reinfrocement-learning deep-learning proximal-policy-optimization ppo a2c advantage-actor-critic deep-q-learning
Language:Python 10
ayush5harma / Espeon
It's a Raspberry Pi Pokémon that gamifies WiFi Hacking by learning from its surrounding WiFi environment utilising deep Reinforcement Learning.
advantage-actor-critic bettercap-ng deep-reinforcement-learning internet-of-things wireless-security
Language:Python 4
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
reinforcement-learning reinforcement-learning-algorithms advantage-actor-critic cartpole-v1 cartpole-gamebot machine-learning actor-critic
Language:Python 3
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
intelligent-agents deep-reinforcement-learning openai-gym carla-simulator dqn a3c-agent pytorch learning-agents pytorch-carla carla-driving-simulator advantage-actor-critic
Language:Python 3
rystrauss / interact
Implementations of deep reinforcement learning algorithms.
reinforcement-learning tensorflow artificial-intelligence deep-learning proximal-policy-optimization a2c deep-q-learning phasic-policy-gradient ppo soft-actor-critic prioritized-experience-replay dqn advantage-actor-critic sac ddpg td3
Language:Python 3
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.
advantage-actor-critic artificial-intelligence cartpole pytorch reinforcement-learning
Language:Jupyter Notebook 1
dksifoua / Reinforcement-Learning
reinforcement-learning markov-decision-processes dynamic-programming monte-carlo temporal-difference sarsa q-learning dyna-q policy-gradient reinforce actor-critic advantage-actor-critic asynchronous-advantage-actor-critic proximal-policy-optimization
Language:Jupyter Notebook 1
LukasDrews97 / flappy-bird-reinforcement-learning
Training a Reinforcement Learning Agent to Play Flappy Bird.
advantage-actor-critic flappy-bird proximal-policy-optimization reinforcement-learning reinforcement-learning-agent pytorch stable-baselines3 machine-learning
Language:Python 1
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.
advantage-actor-critic computer-vision deep-learning gru image-processing reinforcement-learning
0
deepbiolab / drl
Implementation of deep reinforcement learning
monte-carlo-methods q-learning sarsa tile-coding dqn dueling-ddqn prioritized-dqn cross-entropy-method hill-climbing mc-control reinforce temporal-difference policy-based-method policy-gradient value-based-methods ppo advantage-actor-critic alphazero deep-deterministic-policy-gradient
Language:Jupyter Notebook 0
dodoseung / a2c-advantage-actor-critic-pytorch
The pytorch implemetation of a2c
deep-reinforcement-learning advantage-actor-critic a2c a2c-pytorch pytorch
Language:Python 0
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.
advantage-actor-critic artificial-intelligence cartpole pytorch reinforcement-learning
Language:Jupyter Notebook 0
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).
deep-learning deep-neural-networks python pytorch tensorflow advantage-actor-critic convolutional-neural-networks deep-q-network generative-adversarial-network recurrent-neural-networks reinforcement-learning variational-autoencoder
Language:Jupyter Notebook 0
nslyubaykin / relax_a2c_example
Example A2C implementation with ReLAx
advantage-actor-critic continuous-control discrete-control policy-gradient reinforcement-learning reinforcement-learning-algorithms
Language:Jupyter Notebook
Oneiben / 2d-drone-rl-navigation
A reinforcement learning-based 2D drone gate navigation system built from scratch using PyTorch.
actor-critic actor-critic-algorithm advantage-actor-critic deep-reinforcement-learning drone-navigation pygame pytorch reinforcement-learning robotics scratch-implementation
Language:Python

advantage-actor-critic

vwxyzjn / cleanrl

ikostrikov / pytorch-a2c-ppo-acktr-gail

qfettes / DeepRL-Tutorials

Kismuz / btgym

cpnota / autonomous-learning-library

ChenglongChen / pytorch-DRL

Omegastick / pytorch-cpp-rl

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

bentrevett / pytorch-rl

inoryy / tensorflow2-deep-reinforcement-learning

lcswillems / torch-ac

CherryPieSexy / imitation_learning

jcwleo / curiosity-driven-exploration-pytorch

Urinx / ReinforcementLearning

rpatrik96 / pytorch-a2c

med-air / DEX

popovicidaniela / Master-Thesis

dionhaefner / yahtzotron

monoelh / deep-reinforcement-learning_DDQN_PPO_HER

Akella17 / Deep-Bayesian-Quadrature-Policy-Optimization

Po-Hsun-Su / dprl

chagmgang / pysc2_rl

ayush5harma / Espeon

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

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

rystrauss / interact

AliBakly / CartPole-A2C-reinforcement-learning

dksifoua / Reinforcement-Learning

LukasDrews97 / flappy-bird-reinforcement-learning

Aaronaferns / A2CPixelRL

deepbiolab / drl

dodoseung / a2c-advantage-actor-critic-pytorch

eliashornberg / CartPole-A2C-reinforcement-learning

sunoh-kim / deep-learning

nslyubaykin / relax_a2c_example

Oneiben / 2d-drone-rl-navigation