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Decision Making

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

https://github.com/KshamaDw/collaborative-competitive-games

Generative Adversarial Imitation Learning

https://github.com/LRacoci/permutation-graphml

Relational inductive biases, deep learning, and graph networks

https://github.com/LeeLinJun/mpc-mpnet-py

MPC-MPNet: Model-Predictive Motion Planning Networks for Fast, Near-Optimal Planning under Kinodynamic Constraints

https://github.com/LilTwo/DRL-using-PyTorch

Deep Q-learning from Demonstrations

https://github.com/LucaHermes/graph-unet-traffic-prediction

Relational inductive biases, deep learning, and graph networks

https://github.com/LucaMaurici/MultiHop-Reading-Comprehension-DRL

Multi-hop Reading Comprehension via Deep Reinforcement Learning based Document Traversal

https://github.com/LucasAlegre/sac-plus

Soft Actor-Critic Algorithms and Applications

https://github.com/Lukeli0425/Fire-Detection

BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture Analysis

https://github.com/Lycle/ICNN2SP

Neur2SP: Neural Two-Stage Stochastic Programming

https://github.com/MIC-DKFZ/probabilistic_unet

A Probabilistic U-Net for Segmentation of Ambiguous Images

https://github.com/MJXWANG/AUKAI-demo

From Understanding the World to Intervening in It: A Unified Multi-Scale Framework for Embodied Cognition

https://github.com/MXGao-A/FAgent

FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making

https://github.com/MarsEleven/car_racer_RL

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

https://github.com/MartinPawel/ProbabilisticallyRobustRecourse

Actionable Recourse in Linear Classification

https://github.com/Masao-Taketani/LocalFilmAgent

FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces

https://github.com/MatDupas/Fairness-audit

Aequitas: A Bias and Fairness Audit Toolkit

https://github.com/Matthias2193/APA

Uplift Modeling with Multiple Treatments and General Response Types

https://github.com/MatthieuSarkis/Portfolio-Optimization-and-Goal-Based-Investment-with-Reinforcement-Learning

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

https://github.com/MaximeBouton/AutomotiveSafeRL

Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments

https://github.com/MeRKeZ/DeepDrone_Airsim

Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations

https://github.com/Mengyanz/Mengyanz.github.io

Quantile Bandits for Best Arms Identification

https://github.com/MikGen/TestBrainFlow

Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories

https://github.com/MilkSilk/masters_thesis

IQ-Learn: Inverse soft-Q Learning for Imitation

https://github.com/MindCode-4/code-11/tree/main/comparing-the-efficacy

Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation

https://github.com/MindCode-4/code-6/tree/main/comparing-the-efficacy

Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation

https://github.com/MindSpore-scientific-2/code-12/tree/main/KPC-cF-main

KPCA-CAM: Visual Explainability of Deep Computer Vision Models using Kernel PCA

https://github.com/MindSpore-scientific/code-3/tree/main/comparing-the-efficacy

Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation

https://github.com/ModelOriented/FairModels

Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

https://github.com/Mohnishi/KSNR

Koopman Spectrum Nonlinear Regulators and Efficient Online Learning

https://github.com/Montherapy/Deep-reinforcement-learning-for-multi-class-imbalanced-classification

Deep Reinforcement Learning for Imbalanced Classification

https://github.com/MorenoLaQuatra/ARCH

AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark

https://github.com/MrSyee/pg-is-all-you-need

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

https://github.com/NJUNLP/ReNeLLM

AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

https://github.com/NVIDIA-Omniverse/IsaacGymEnvs

AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control

https://github.com/NVIDIA/GraphQSat

Relational inductive biases, deep learning, and graph networks

https://github.com/NathanMalta/VRImitationLearning

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation

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