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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/ukuhl/introalienzoo

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Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning

https://github.com/um-iral/resource-aware-coordination-airsim

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Communication- and Computation-Efficient Distributed Submodular Optimization in Robot Mesh Networks

https://github.com/umass-foundation-model/hazard

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HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments

https://github.com/umd-huang-lab/elbert

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Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate

https://github.com/understandable-machine-intelligence-lab/NoiseGrad

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NoiseGrad: Enhancing Explanations by Introducing Stochasticity to Model Weights

https://github.com/understandable-machine-intelligence-lab/quantus

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NoiseGrad: Enhancing Explanations by Introducing Stochasticity to Model Weights

https://github.com/uni-medical/gmai-vl

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GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI

https://github.com/uni-medical/gmai-vl-r1

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GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning

https://github.com/unibas-gravis/Occlusion-Robust-MoFA

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Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation

https://github.com/unitn-sml/physician-medLLM-interaction

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Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain

https://github.com/unstable-zeros/tasil

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TaSIL: Taylor Series Imitation Learning

https://github.com/uoe-agents/cema

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Causal Explanations for Sequential Decision-Making in Multi-Agent Systems

https://github.com/uoe-agents/imitation-learning-pcg

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Using Offline Data to Speed Up Reinforcement Learning in Procedurally Generated Environments

https://github.com/upiterbarg/diff_history

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diff History for Neural Language Agents

https://github.com/urban-world/urbanworld

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UrbanWorld: An Urban World Model for 3D City Generation

https://github.com/usail-hkust/llmtscs

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LLMLight: Large Language Models as Traffic Signal Control Agents

https://github.com/usc-gvl/agent-driver

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A Language Agent for Autonomous Driving

https://github.com/uscnlp-lime/climb

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CLIMB: A Benchmark of Clinical Bias in Large Language Models

https://github.com/uscresl/mail

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Learning Robot Manipulation from Cross-Morphology Demonstration

https://github.com/ustunb/actionable-recourse

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Actionable Recourse in Linear Classification

https://github.com/utahnlp/nlp-explanation-utility-guideline

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On Evaluating Explanation Utility for Human-AI Decision Making in NLP

https://github.com/utaustin-swarmlab/task-aware-tldr-public

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VIBE: Video-to-Text Information Bottleneck Evaluation for TL;DR

https://github.com/utiasDSL/dsl__rpof__sf

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Robust Predictive Output-Feedback Safety Filter for Uncertain Nonlinear Control Systems

https://github.com/utiasDSL/safe-control-gym

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Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning

https://github.com/utiasSTARS/multiview-manipulation

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Seeing All the Angles: Learning Multiview Manipulation Policies for Contact-Rich Tasks from Demonstrations

https://github.com/utiasstars/lfgp

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Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning

https://github.com/utkauraslab/aligning_hr_actions

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Toward Aligning Human and Robot Actions via Multi-Modal Demonstration Learning

https://github.com/uu-sml/calibration

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Evaluating model calibration in classification

https://github.com/uva-mlsys/covid-19-age-groups

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Interpreting Time Series Transformer Models and Sensitivity Analysis of Population Age Groups to COVID-19 Infections

https://github.com/uverma/ManipalUAVid

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UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal Information

https://github.com/uzh-rpg/high_mpc

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Learning High-Level Policies for Model Predictive Control

https://github.com/uzh-rpg/rl_vo

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Reinforcement Learning Meets Visual Odometry

https://github.com/v2c08/M-BMVS

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A Meta-Bayesian Model of Intentional Visual Search

https://github.com/v587su/sec

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When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference

https://github.com/vadim0x60/cibi

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BF++: a language for general-purpose program synthesis

https://github.com/vahidthegreat/ai-in-the-gray

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AI in the Gray: Exploring Moderation Policies in Dialogic Large Language Models vs. Human Answers in Controversial Topics

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