Papers with Code 아카이브

Reinforcement Learning

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평가표

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보존된 평가 기록

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코드

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

https://github.com/SPEECHCOG/cpc_pytorch

Representation Learning with Contrastive Predictive Coding

https://github.com/SPark9625/Large-Scale-Study-of-Curiosity-Driven-Learning

Large-Scale Study of Curiosity-Driven Learning

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

Proximal Policy Optimization Algorithms

https://github.com/SVJayanthi/dmcontrol-generalization-benchmark

Generalization in Reinforcement Learning by Soft Data Augmentation

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/SaremS/WorldModel

World Models

https://github.com/SayhoKim/tetrisRL

Playing Atari with Deep Reinforcement Learning

https://github.com/SeolhwaLee/ParlAI_blender_persona

ParlAI: A Dialog Research Software Platform

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/SeungeonBaek/discrete-agents-test

Distributional Reinforcement Learning with Quantile Regression

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

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

https://github.com/ShahinSHH/COVID-FACT

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

https://github.com/ShangtongZhang/DistributedES

Evolution Strategies as a Scalable Alternative to Reinforcement Learning

https://github.com/ShaojieJiang/FACE_orig

ParlAI: A Dialog Research Software Platform

https://github.com/ShaojieJiang/tldr

ParlAI: A Dialog Research Software Platform

https://github.com/ShashwatNigam99/MARBLER

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

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

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

https://github.com/ShawnBLYU/offline_rl_envs

Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning

https://github.com/Sheepsody/Batched-Impala-PyTorch

Playing Atari with Deep Reinforcement Learning

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

Continuous control with deep reinforcement learning

https://github.com/ShibiHe/Model-Free-Episodic-Control

Model-Free Episodic Control

https://github.com/ShibiHe/Q-Optimality-Tightening

Asynchronous Methods for Deep Reinforcement Learning

https://github.com/Shikib/structured_fusion_networks

Structured Fusion Networks for Dialog

https://github.com/ShivamShrirao/deep_Q_learning

Playing Atari with Deep Reinforcement Learning

https://github.com/ShivamShrirao/deep_Q_learning_from_scratch

Playing Atari with Deep Reinforcement Learning

https://github.com/ShubAn1901/Licence-Plate-Recognition

Searching for Activation Functions

https://github.com/ShubAn1901/License-Plate-Recognition

Searching for Activation Functions

https://github.com/Shubhambindal2017/Unoffical-Implementation-of-GRAD-CAM-with-Sanity-Checks

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

https://github.com/Shunichi09/PythonLinearNonlinearControl

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

https://github.com/Sidus-smg/ataxx-ai

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/SihongHo/multiagent-particle-envs

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

https://github.com/SimarKareer/legged_gym

Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning

https://github.com/SimonRamstedt/ddpg

Continuous control with deep reinforcement learning

https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control

Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control

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