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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/geoaigroup/geoai-ecrs2023

공식 코드

Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentation

https://github.com/geoelements/xai-lateral-spreading

공식 코드

Explainable AI models for predicting liquefaction-induced lateral spreading

https://github.com/geon-hyeong/imitation-dice

공식 코드

LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation

https://github.com/georgeliu233/scene-rep-transformer

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Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving

https://github.com/georgewanglz2019/LLMTraveler

공식 코드

AI-Driven Day-to-Day Route Choice

https://github.com/gewu-lab/llm_articulated_object_manipulation

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Kinematic-aware Prompting for Generalizable Articulated Object Manipulation with LLMs

https://github.com/gfreund123/cfil

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A Coupled Flow Approach to Imitation Learning

https://github.com/ghimiremukesh/autonomous-driving

공식 코드

Lane Change Decision-Making through Deep Reinforcement Learning

https://github.com/ghksdl6025/online_ppm_stability

공식 코드

Measuring the Stability of Process Outcome Predictions in Online Settings

https://github.com/giandos200/ECAI23

공식 코드

Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness under Unawareness setting

https://github.com/giangnm58/fair-automl

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Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML

https://github.com/gianmarcogenalti/autoregressive-bandits

공식 코드

Autoregressive Bandits

https://github.com/giannislelekas/topdown

공식 코드

Top-Down Networks: A coarse-to-fine reimagination of CNNs

https://github.com/giarcieri/hidden-markov-models

공식 코드

Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems

https://github.com/giarcieri/robust-optimal-maintenance-planning-through-reinforcement-learning-and-rllib

공식 코드

POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance

https://github.com/gigaai-research/general-world-models-survey

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Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond

https://github.com/gilsonshimizu/interpretability

공식 코드

Model interpretation using improved local regression with variable importance

https://github.com/gim4855744/honam

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Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions

https://github.com/giorgiaauroraadorni/learning-robot-swarm-controllers

공식 코드

Simulation of robot swarms for learning communication-aware coordination

https://github.com/giorgiopiatti/govsim

공식 코드

Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents

https://github.com/git-disl/HQ-Ensemble

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Hierarchical Pruning of Deep Ensembles with Focal Diversity

https://github.com/git-disl/awesome-llm-game-agent-papers

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A Survey on Large Language Model-Based Game Agents

https://github.com/git-disl/pokellmon

공식 코드

PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models

https://github.com/giuse/DNE

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Playing Atari with Six Neurons

https://github.com/gkahn13/LaND

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LaND: Learning to Navigate from Disengagements

https://github.com/gkaradzhov/cognitive-diversity-groups-cogsci24

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The effect of diversity on group decision-making

https://github.com/gkswamy98/causal_il

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Causal Imitation Learning under Temporally Correlated Noise

https://github.com/gkswamy98/fast_irl

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Inverse Reinforcement Learning without Reinforcement Learning

https://github.com/gkswamy98/pillbox

공식 코드

Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap

https://github.com/gkswamy98/replay_est

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Minimax Optimal Online Imitation Learning via Replay Estimation

https://github.com/gkswamy98/sequence_model_il

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Sequence Model Imitation Learning with Unobserved Contexts

https://github.com/gkthom/lagrseq

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LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying

https://github.com/gkwt/rbo

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Ranking over Regression for Bayesian Optimization and Molecule Selection

https://github.com/glam-imperial/AudioXgen

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Audio Explanation Synthesis with Generative Foundation Models

https://github.com/gmum/bnn-functional-priors

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High-Fidelity Transfer of Functional Priors for Wide Bayesian Neural Networks by Learning Activations

https://github.com/godfire66666/llm_rec_explanation

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Unlocking the Potential of Large Language Models for Explainable Recommendations

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