Papers with Code 아카이브

3D Face Modelling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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코드

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

https://github.com/ku2482/gail-airl-ppo.pytorch

Proximal Policy Optimization Algorithms

https://github.com/ku2482/rljax

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

https://github.com/ku2482/rltorch

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

https://github.com/ku2482/slac.pytorch

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

https://github.com/ku2482/soft-actor-critic.pytorch

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

https://github.com/kushagra06/DDPG

Continuous control with deep reinforcement learning

https://github.com/kushagra06/SAC

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

https://github.com/labmlai/annotated_deep_learning_paper_implementations

High-Dimensional Continuous Control Using Generalized Advantage Estimation

https://github.com/lanqingli1993/focal-iclr

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

https://github.com/lava-lab/safe-slac

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

https://github.com/lcswillems/torch-ac

Proximal Policy Optimization Algorithms

https://github.com/learn-to-race/l2r

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

https://github.com/lgerrets/rl18-curiosity

Proximal Policy Optimization Algorithms

https://github.com/liampetti/DDPG

Continuous control with deep reinforcement learning

https://github.com/ligy2016/gym

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

https://github.com/lim0606/pytorch-ardae-rl

AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation

https://github.com/lim0606/pytorch-ardae-vae

AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation

https://github.com/lionelblonde/sam-pytorch

Sample-Efficient Imitation Learning via Generative Adversarial Nets

https://github.com/liuyuezhang/pyrl

Continuous control with deep reinforcement learning

https://github.com/liyiyuian/Deep-Learning

Proximal Policy Optimization Algorithms

https://github.com/llSourcell/OpenAI_Five_vs_Dota2_Explained

Proximal Policy Optimization Algorithms

https://github.com/lmzintgraf/varibad

Meta reinforcement learning as task inference

https://github.com/lollcat/Soft-Actor-Critic

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

https://github.com/lqnew/continuous_control_benchmark

DeepMind Control Suite

https://github.com/lucianzhong/DDPG_to_drive_in_TORCS

Simulated Car Racing Championship: Competition Software Manual

https://github.com/luke-bhan/TwitterSentimentAnalysisTool

Continuous control with deep reinforcement learning

https://github.com/lukebhan/TwitterSentimentAnalysisTool

Continuous control with deep reinforcement learning

https://github.com/lyp741/Pytorch-ERL

Evolution-Guided Policy Gradient in Reinforcement Learning

https://github.com/m5823779/DDPG

Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation

https://github.com/m5823779/MotionPlannerUsingDDPG

Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation

https://github.com/madhur-tandon/RL-Project

Continuous control with deep reinforcement learning

https://github.com/madvn/DDPG

Continuous control with deep reinforcement learning

https://github.com/magnusja/ppo

High-Dimensional Continuous Control Using Generalized Advantage Estimation

https://github.com/majercakdavid/gym-virtual-quant-trading

Continuous control with deep reinforcement learning

https://github.com/mark-gluzman/NmodelPPO

Proximal Policy Optimization Algorithms

https://github.com/markub3327/rl-agent

Addressing Function Approximation Error in Actor-Critic Methods

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