Papers with Code 아카이브

Decision Making

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

2

보존된 평가 기록

2

코드

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

https://github.com/cognitiveailab/textworldexpress

Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines

https://github.com/colonel-aureliano/excel-agent

PC-Agent: A Hierarchical Multi-Agent Collaboration Framework for Complex Task Automation on PC

https://github.com/corcovadoming/mpnnel

Unified Recurrence Modeling for Video Action Anticipation

https://github.com/core-robotics-lab/icct

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

https://github.com/coreylowman/ragz

Thinking Fast and Slow with Deep Learning and Tree Search

https://github.com/coreylowman/rl_simply

Soft Actor-Critic Algorithms and Applications

https://github.com/coreylowman/synthesis

Thinking Fast and Slow with Deep Learning and Tree Search

https://github.com/cran/fairmodels

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

https://github.com/createamind/VDB-GAN

Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

https://github.com/createamind/softlearning

Soft Actor-Critic Algorithms and Applications

https://github.com/cshizhe/vln-hamt

History Aware Multimodal Transformer for Vision-and-Language Navigation

https://github.com/csubich/graphcast

GraphCast: Learning skillful medium-range global weather forecasting

https://github.com/cteicher-m/loanBiases

On the (im)possibility of fairness

https://github.com/cxu-tri/fail-detect

Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies

https://github.com/dais-ita/SLProbLog

Probabilistic Logic Programming with Beta-Distributed Random Variables

https://github.com/danijar/daydreamer

Mastering Diverse Domains through World Models

https://github.com/danleiQ/Mechanisms-of-Action-Classification

TabNet: Attentive Interpretable Tabular Learning

https://github.com/danwley/globe-ce

Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses

https://github.com/darwinai/FibrosisNet

Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images

https://github.com/darwinai/pl-CT-covidnet

COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images

https://github.com/dasgringuen/assetto_corsa_gym

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

https://github.com/data-science-kitchen/germ-eval-2021

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

https://github.com/datalab-georgetown/fairness-and-missing-values

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

https://github.com/davidtangGT/MEGNET

Relational inductive biases, deep learning, and graph networks

https://github.com/dcccc/LC_NET

Relational inductive biases, deep learning, and graph networks

https://github.com/dcccc/git_python

Relational inductive biases, deep learning, and graph networks

https://github.com/debjitpaul/refiner

Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization

https://github.com/deckardagent/deckard

Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling

https://github.com/deepmind/jraph

Relational inductive biases, deep learning, and graph networks

https://github.com/deinal/seacast

GraphCast: Learning skillful medium-range global weather forecasting

https://github.com/dengyh16code/MQA_dataset

MQA: Answering the Question via Robotic Manipulation

https://github.com/denisyarats/pytorch_sac

Soft Actor-Critic Algorithms and Applications

https://github.com/devinpleuler/analytics-handbook

SoccerMap: A Deep Learning Architecture for Visually-Interpretable Analysis in Soccer

https://github.com/dfki-ric-underactuated-lab/torque_limited_simple_pendulum

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

https://github.com/dmadras/predict-responsibly

Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer

https://github.com/dmeoli/neuro-sat

From Gameplay to Symbolic Reasoning: Learning SAT Solver Heuristics in the Style of Alpha(Go) Zero

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