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/eracah/supervise-thyself

공식 코드

Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments

https://github.com/erasmo1015/vte

공식 코드

On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression

https://github.com/ercumentilhan/naive-advice-imitation

공식 코드

Action Advising with Advice Imitation in Deep Reinforcement Learning

https://github.com/ergodice/lczero-training

공식 코드

Mastering Chess with a Transformer Model

https://github.com/ergoncugler/q-learning

공식 코드

From Two-Dimensional to Three-Dimensional Environment with Q-Learning: Modeling Autonomous Navigation with Reinforcement Learning and no Libraries

https://github.com/ericavandersar/rl4pnc-survey

공식 코드

Optimizing Power Grid Topologies with Reinforcement Learning: A Survey of Methods and Challenges

https://github.com/ericyangyu/pocar

공식 코드

Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems

https://github.com/erik-derner/symbolic-regression

공식 코드

Constructing Parsimonious Analytic Models for Dynamic Systems via Symbolic Regression

https://github.com/ermongroup/InfoGAIL

공식 코드

InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations

https://github.com/ermongroup/LISA

공식 코드

LISA: Learning Interpretable Skill Abstractions from Language

https://github.com/eth-disco/rlp

공식 코드

PUZZLES: A Benchmark for Neural Algorithmic Reasoning

https://github.com/eth-sri/probabilistic-forecasts-attacks

공식 코드

Adversarial Attacks on Probabilistic Autoregressive Forecasting Models

https://github.com/ethanluoyc/optimal_transport_reward

공식 코드

Optimal Transport for Offline Imitation Learning

https://github.com/ethz-coss/LLM_voting

공식 코드

LLM Voting: Human Choices and AI Collective Decision Making

https://github.com/ethz-privsec/superhuman-ai-consistency

공식 코드

Evaluating Superhuman Models with Consistency Checks

https://github.com/ethz-spylab/superhuman-ai-consistency

공식 코드

Evaluating Superhuman Models with Consistency Checks

https://github.com/eugeneberta/refinethencalibrate-theory

공식 코드

Rethinking Early Stopping: Refine, Then Calibrate

https://github.com/eugeneberta/refinethencalibrate-vision

공식 코드

Rethinking Early Stopping: Refine, Then Calibrate

https://github.com/eugeneteoh/greenaug

공식 코드

Green Screen Augmentation Enables Scene Generalisation in Robotic Manipulation

https://github.com/euranova/estimating_eces

공식 코드

Estimating Expected Calibration Errors

https://github.com/eureka-research/Eureka

공식 코드

Eureka: Human-Level Reward Design via Coding Large Language Models

https://github.com/euzmin/Contrastive-Balancing-Representation-Network-CRNet

공식 코드

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation

https://github.com/evdoxiataka/effi_user_study1

공식 코드

Human-in-the-loop Fairness: Integrating Stakeholder Feedback to Incorporate Fairness Perspectives in Responsible AI

https://github.com/evdoxiataka/effi_user_study2

공식 코드

Human-in-the-loop Fairness: Integrating Stakeholder Feedback to Incorporate Fairness Perspectives in Responsible AI

https://github.com/everloom-129/rekep

공식 코드

ZeroMimic: Distilling Robotic Manipulation Skills from Web Videos

https://github.com/evieq01/oodil

공식 코드

Out-of-Dynamics Imitation Learning from Multimodal Demonstrations

https://github.com/evison/Sentires

공식 코드

Counterfactual Explainable Recommendation

https://github.com/evkg/evkg

공식 코드

EVKG: An Interlinked and Interoperable Electric Vehicle Knowledge Graph for Smart Transportation System

https://github.com/explainable-digital-twins/rag-dddas

공식 코드

Large Language Models for Explainable Decisions in Dynamic Digital Twins

https://github.com/ezhan94/calibratable-style-consistency

공식 코드

Learning Calibratable Policies using Programmatic Style-Consistency

https://github.com/ezhan94/gen-MA-BC

공식 코드

Generating Multi-Agent Trajectories using Programmatic Weak Supervision

https://github.com/ezhan94/multiagent-programmatic-supervision

공식 코드

Generating Multi-Agent Trajectories using Programmatic Weak Supervision

https://github.com/ezhang7423/social-environment-design

공식 코드

Social Environment Design

https://github.com/f-god6/ilmar

공식 코드

Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action Ranker

https://github.com/fGAIL3456/fGAIL

공식 코드

$f$-GAIL: Learning $f$-Divergence for Generative Adversarial Imitation Learning

https://github.com/fabiankaechele/energy-schaake

공식 코드

From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting

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