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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/arezae4/fair-logloss-classification

Fairness for Robust Log Loss Classification

https://github.com/arnomoonens/yarll

Soft Actor-Critic Algorithms and Applications

https://github.com/ashutosh1919/neuro-symbolic-sudoku-solver

Neural Logic Machines

https://github.com/asjad99/Reinforcement-Learning

Deep Q-learning from Demonstrations

https://github.com/astrid-merckling/SRL4RL

Soft Actor-Critic Algorithms and Applications

https://github.com/audreyanneguindon/NeurIPS_2019

Exact Combinatorial Optimization with Graph Convolutional Neural Networks

https://github.com/autogluon/autogluon-fair

Does mitigating ML's impact disparity require treatment disparity?

https://github.com/autonomousvision/data_aggregation

DART: Noise Injection for Robust Imitation Learning

https://github.com/autonomousvision/navsim

TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving

https://github.com/autumnwu/aggressive-q-learning-with-ensembles

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

https://github.com/ayanglab/hdl

HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis

https://github.com/ayong8/FairSight

FairSight: Visual Analytics for Fairness in Decision Making

https://github.com/azfeng8/pddlgym

PDDLGym: Gym Environments from PDDL Problems

https://github.com/azy64/Deep-Learning

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

https://github.com/backgom2357/Recommender_system_via_deep_RL

Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling

https://github.com/baichenjia/utds

Behavioral Cloning from Observation

https://github.com/baturaysaglam/la3p

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

https://github.com/bch0322/PG-BrainBagNet

Deep Joint Learning of Pathological Region Localization and Alzheimer's Disease Diagnosis

https://github.com/beekpower/we-feel-extract

Twitter mood predicts the stock market

https://github.com/ben-ix/multiagentmarkets

Bounded rationality for relaxing best response and mutual consistency: The Quantal Hierarchy model of decision-making

https://github.com/billlyzhaoyh/SegNetFromScratch

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

https://github.com/billxbf/rewoo

ReAct: Synergizing Reasoning and Acting in Language Models

https://github.com/bitsauce/Carla-ppo

End-to-end Driving via Conditional Imitation Learning

https://github.com/bj80heyue/Learning-to-Group

Merge or Not? Learning to Group Faces via Imitation Learning

https://github.com/bluelancer/SANDWICH

SANDWICH: Towards an Offline, Differentiable, Fully-Trainable Wireless Neural Ray-Tracing Surrogate

https://github.com/bmxitalia/NCRProject

Neural Collaborative Reasoning

https://github.com/boenninghoff/AdHominem

Explainable Authorship Verification in Social Media via Attention-based Similarity Learning

https://github.com/boettiger-lab/pomdp-intro

Resolving the measurement uncertainty paradox in ecological management

https://github.com/bookingcom/ml-dataset-reviews

Text2Topic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot Capabilities

https://github.com/bramucas/xclingo

Explainable Machine Larning for liver transplantation

https://github.com/bruzwen/ddxplus

Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and Classification

https://github.com/bspanjers/AIFBAREND

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

https://github.com/bukysun/gail-traj-eb

Generative Adversarial Imitation Learning

https://github.com/cacosandon/are-you-looking

The Regretful Navigation Agent for Vision-and-Language Navigation

https://github.com/camp-explain-ai/inputiba

Restricting the Flow: Information Bottlenecks for Attribution

https://github.com/carla-recourse/CARLA

Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR

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