Papers with Code 아카이브

3D Face Modelling

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/RLAgent/state-marginal-matching

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/Rafael1s/Deep-Reinforcement-Learning-Udacity

Proximal Policy Optimization Algorithms

https://github.com/Recognito-Vision/Linux-FaceRecognition-FaceLivenessDetection

https://github.com/Remtasya/DDPG-Actor-Critic-Reinforcement-Learning-Reacher-Environment

Continuous control with deep reinforcement learning

https://github.com/RoblabWh/RobLearn

Deep Reinforcement learning for real autonomous mobile robot navigation in indoor environments

https://github.com/RobvanGastel/svg-priors

Learning Continuous Control Policies by Stochastic Value Gradients

https://github.com/SPark9625/PyTorch-Proximal-Policy-Optimization

Proximal Policy Optimization Algorithms

https://github.com/SalvatoreCognetta/reasoning-agent-project

Proximal Policy Optimization Algorithms

https://github.com/SaminYeasar/off_policy_ac

Continuous control with deep reinforcement learning

https://github.com/Santara/RAIL

RAIL: Risk-Averse Imitation Learning

https://github.com/SaremS/WorldModel

World Models

https://github.com/SergiPonsa/Reinforcement-Learning-Sergi

Continuous control with deep reinforcement learning

https://github.com/SeungeonBaek/continuous-agents-test

Addressing Function Approximation Error in Actor-Critic Methods

https://github.com/ShaneFlandermeyer/bmpc-jax

Bootstrapped Model Predictive Control

https://github.com/ShawK91/Evolutionary-Reinforcement-Learning

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/Sheldonmao/Learning-To-walk

Continuous control with deep reinforcement learning

https://github.com/SimonRamstedt/ddpg

Continuous control with deep reinforcement learning

https://github.com/SinaMohseni/Saliency-Based-Failure-prediction-for-Autonomous-Vehicle

Predicting Model Failure using Saliency Maps in Autonomous Driving Systems

https://github.com/Souphis/mobile_robot_rl

Continuous control with deep reinforcement learning

https://github.com/Stable-Baselines-Team/stable-baselines3-contrib

Simple random search provides a competitive approach to reinforcement learning

https://github.com/Steinheilig/Imbiss

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/Steve--Hunter/gym

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

https://github.com/Stippler/cow-simulator

Proximal Policy Optimization Algorithms

https://github.com/T3chy/DDPG

Continuous control with deep reinforcement learning

https://github.com/TakaOsa/LTD3

Discovering Diverse Solutions in Deep Reinforcement Learning by Maximizing State-Action-Based Mutual Information

https://github.com/Tdjaaleb/Exploratory-Mean-Variance

Continuous-Time Mean-Variance Portfolio Selection: A Reinforcement Learning Framework

https://github.com/TencentYoutuResearch/3DFaceReconstruction-LAP

Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection

https://github.com/TheInfamousWayne/ddpg

Continuous control with deep reinforcement learning

https://github.com/UesugiErii/tf2-PPO-atari

High-Dimensional Continuous Control Using Generalized Advantage Estimation

https://github.com/VasaKiDD/TD3-deep-rl-research

Continuous control with deep reinforcement learning

https://github.com/Veloc1tyE/Drift

World Models

https://github.com/WilsonWangTHU/mbbl-metrpo

Model-Ensemble Trust-Region Policy Optimization

https://github.com/WittmannF/quadcopter-best-practices

Continuous control with deep reinforcement learning

https://github.com/X3N4/car_racer

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/YYCAAA/V-MPO_Lunarlander

V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control

https://github.com/YangRui2015/Modular_HER

Continuous control with deep reinforcement learning

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.