Papers with Code 아카이브

Decision Making

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

https://github.com/Owen-Oertell/rlcm

Training Diffusion Models with Reinforcement Learning

https://github.com/PJLab-ADG/driveLikeAHuman

DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

https://github.com/PKD667/political-alignement

PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models

https://github.com/PaddlePaddle/PaddleScience

Skillful Precipitation Nowcasting using Deep Generative Models of Radar

https://github.com/PanPalitta/phase_estimation

Single-shot Adaptive Measurement for Quantum-enhanced Metrology

https://github.com/Paultool/segnet

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

https://github.com/PennyLaneAI/pennylane

Better than classical? The subtle art of benchmarking quantum machine learning models

https://github.com/PeteXC/Transfer-Learning

Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation

https://github.com/PlaytikaOSS/pybandits

Doubly Robust Policy Evaluation and Optimization

https://github.com/QuentinVacher-rl/SoftActorCritic-in-Cpp-using-LibTorch

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

https://github.com/RL-Research-Cohiba/Reinforcement_Learning

Goal-directed graph construction using reinforcement learning

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

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

https://github.com/Raghuvar/pneumonia_detection_using_X-rays

Thresholding Classifiers to Maximize F1 Score

https://github.com/Refefer/Dagger

A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning

https://github.com/Rose-STL-Lab/Spatiotemporal_UQ

Quantifying Uncertainty in Deep Spatiotemporal Forecasting

https://github.com/Rowing0914/Atari-Grand-Challenge-Processor

The Atari Grand Challenge Dataset

https://github.com/Rowing0914/Graph_Nets

Relational inductive biases, deep learning, and graph networks

https://github.com/RunzheStat/TestMDP

Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making

https://github.com/SHITIANYU-hue/Efficient-motion-planning

Efficient Motion Planning for Automated Lane Change based on Imitation Learning and Mixed-Integer Optimization

https://github.com/SSN15/Behavioral-Cloning--Implementaion-of-Autonomous-car-using-deep-learning

ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

https://github.com/SSN15/Traffic-sign-recognition-using-deep-learning-and-computer-vision

ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

https://github.com/SWKoreaBME/sangwook_kits2019

Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge

https://github.com/SaminYeasar/off_policy_ac

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

https://github.com/Sangyu-Han/SharingRatioDecomposition

Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition

https://github.com/Santara/RAIL

RAIL: Risk-Averse Imitation Learning

https://github.com/ScottJordan/SafePolicyImprovementNonstationary

Towards Safe Policy Improvement for Non-Stationary MDPs

https://github.com/SenthilCaesar/CNN-Brain-MRI-Segmentation

QuickNAT: A Fully Convolutional Network for Quick and Accurate Segmentation of Neuroanatomy

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

Self-Imitation Learning

https://github.com/Shalev-Lifshitz/STEVE-1

STEVE-1: A Generative Model for Text-to-Behavior in Minecraft

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/ShawK91/erl_paper_nips18

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

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

Model-Free Episodic Control

https://github.com/Shounak-D/Kernel-Perturbation-based-Boosting-of-SVMs

Diversifying Support Vector Machines for Boosting using Kernel Perturbation: Applications to Class Imbalance and Small Disjuncts

https://github.com/SihaoHuang/SyntheticBiologyDNN

Towards Multicellular Biological Deep Neural Nets Based on Transcriptional Regulation

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