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集合主题趋势排行榜
#

advantage-actor-critic

Website
Wikipedia
https://static.github-zh.com/github_avatars/vwxyzjn?size=40
vwxyzjn / cleanrl

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

wandbreinforcement-learningPyTorchPythongym机器学习deep-reinforcement-learning深度学习atarialea2cproximal-policy-optimizationppoadvantage-actor-criticactor-criticphasic-policy-gradient
Python 7.25 k
2 个月前
https://static.github-zh.com/github_avatars/ikostrikov?size=40
ikostrikov / pytorch-a2c-ppo-acktr-gail

#计算机科学#PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) ...

PyTorchreinforcement-learning深度学习deep-reinforcement-learningactor-criticadvantage-actor-critica2cppoproximal-policy-optimizationhessianatarimujocoroboschoolcontinuous-controlale
Python 3.78 k
3 年前
https://static.github-zh.com/github_avatars/qfettes?size=40
qfettes / DeepRL-Tutorials

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

PythonPyTorchreinforcement-learningdeep-reinforcement-learningdeep-q-networkdouble-dqndueling-dqnrainbowactor-criticadvantage-actor-critica2cppo
Jupyter Notebook 1.08 k
4 年前
https://static.github-zh.com/github_avatars/Kismuz?size=40
Kismuz / btgym

#时序数据库#Scalable, event-driven, deep-learning-friendly backtesting library

reinforcement-learningdeep-reinforcement-learninggym-environmentopenai-gymbacktesting-trading-strategiesalgorithmic-trading-librarytime-seriesa3cTensorflowunrealadvantage-actor-criticpolicy-gradientstatistical-arbitrageHacktoberfest
Python 1 k
4 年前
https://static.github-zh.com/github_avatars/cpnota?size=40
cpnota / autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

reinforcement-learningreinforcement-learning-algorithmsdeep-reinforcement-learningsoft-actor-criticproximal-policy-optimizationdeep-q-learningadvantage-actor-criticdeep-deterministic-policy-gradientsaca2cddpgppodqndqn-pytorch
Python 648
1 年前
https://static.github-zh.com/github_avatars/ChenglongChen?size=40
ChenglongChen / pytorch-DRL

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

PyTorchdeep-reinforcement-learningmulti-agentdeep-q-networkactor-criticadvantage-actor-critica2cproximal-policy-optimizationppodeep-deterministic-policy-gradientddpgrldqnreinforcement-learning
Python 585
8 年前
https://static.github-zh.com/github_avatars/Omegastick?size=40
Omegastick / pytorch-cpp-rl

PyTorch C++ Reinforcement Learning

PyTorchC++reinforcement-learningreinforcement-learning-algorithmsa2cppopytorch-rlpytorch-cpp-frontendlibtorchactor-criticadvantage-actor-criticproximal-policy-optimizationcontinuous-control
C++ 523
5 年前
https://static.github-zh.com/github_avatars/PacktPublishing?size=40
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

deep-reinforcement-learningopenai-gymcarla-simulatordqnPyTorchadvantage-actor-criticactor-critic
Python 380
2 年前
https://static.github-zh.com/github_avatars/bentrevett?size=40
bentrevett / pytorch-rl

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

PyTorchpytorch-tutorialpytorch-implmentionpytorch-implementationreinforcement-learningreinforcement-learning-algorithmsrlpytorch-tutorialspytorch-rlpolicy-gradientactor-critica2cadvantage-actor-critic
Jupyter Notebook 279
5 年前
https://static.github-zh.com/github_avatars/inoryy?size=40
inoryy / tensorflow2-deep-reinforcement-learning

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

Tensorflowtensorflow2Kerasdeep-reinforcement-learningadvantage-actor-critica2c
Jupyter Notebook 207
4 年前
https://static.github-zh.com/github_avatars/lcswillems?size=40
lcswillems / torch-ac

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

PyTorchreinforcement-learningactor-criticdeep-reinforcement-learningmulti-processa2ca3cppoadvantage-actor-criticproximal-policy-optimizationrecurrent-neural-networks
Python 201
3 年前
https://static.github-zh.com/github_avatars/CherryPieSexy?size=40
CherryPieSexy / imitation_learning

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

reinforcement-learningppoimitation-learningPyTorcha2c深度学习deep-reinforcement-learningproximal-policy-optimizationadvantage-actor-criticpolicy-gradient
Python 144
4 年前
https://static.github-zh.com/github_avatars/jcwleo?size=40
jcwleo / curiosity-driven-exploration-pytorch

Curiosity-driven Exploration by Self-supervised Prediction

icmreinforcement-learningPyTorchadvantage-actor-criticproximal-policy-optimization
Python 138
2 年前
https://static.github-zh.com/github_avatars/Urinx?size=40
Urinx / ReinforcementLearning

Reinforcing Your Learning of Reinforcement Learning

reinforcement-learningalphago-zeromctsq-learningpolicy-gradientdoomtic-tac-toespace-invadersppoadvantage-actor-criticdqnalphagoddpg
Python 95
6 年前
https://static.github-zh.com/github_avatars/rpatrik96?size=40
rpatrik96 / pytorch-a2c

#计算机科学#A well-documented A2C written in PyTorch

PythonPyTorchpytorch-implementationpytorch-tutoriala2cactor-criticadvantage-actor-critic深度学习深度神经网络deep-reinforcement-learningreinforcement-learningreinforcement-learning-algorithmsstable-baselinesbaselinesopenai-gym
Python 50
6 年前
https://static.github-zh.com/github_avatars/med-air?size=40
med-air / DEX

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

advantage-actor-criticddpgpytorch-rlreinforcement-learningsac
Python 40
2 年前
https://static.github-zh.com/github_avatars/popovicidaniela?size=40
popovicidaniela / Master-Thesis

#计算机科学#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-learninga3cactor-criticreinforcement-learning-algorithmsTensorflowautonomous-drivingdeep-reinforcement-learning深度学习深度神经网络tensorboardmulti-threadingmultithreadingPythonNumPyasynchronousadvantage-actor-criticLaTeX
TeX 37
8 年前
https://static.github-zh.com/github_avatars/dionhaefner?size=40
dionhaefner / yahtzotron

The friendly robot that beats you in Yahtzee 🤖 🎲

reinforcement-learningadvantage-actor-criticjax
Python 21
6 个月前
https://static.github-zh.com/github_avatars/monoelh?size=40
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-gymNumPygamedeep-reinforcement-learningdeep-q-networkppoadvantage-actor-critic
Jupyter Notebook 20
7 年前
https://static.github-zh.com/github_avatars/Po-Hsun-Su?size=40
Po-Hsun-Su / dprl

Deep reinforcement learning package for torch7

deep-reinforcement-learningadvantage-actor-criticdqn
Lua 16
9 年前
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