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Decision Making

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코드

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

https://github.com/tsinghua-fib-lab/acl24-econagent

공식 코드

EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities

https://github.com/tsinghua-fib-lab/pategail

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PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning

https://github.com/tsinghua-fib-lab/sand

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Learning to Simulate Daily Activities via Modeling Dynamic Human Needs

https://github.com/tsinghua-fib-lab/unist

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UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction

https://github.com/tsor13/kaleido

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Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties

https://github.com/tsuehr/OnlineLearningToDeferWithKnapsack

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Online Decision Deferral under Budget Constraints

https://github.com/ttianyuren/eTAMP

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Extended Tree Search for Robot Task and Motion Planning

https://github.com/tudelft-cda-lab/dtpo

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Optimizing Interpretable Decision Tree Policies for Reinforcement Learning

https://github.com/tudelft-cda-lab/omdt

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Optimal Decision Tree Policies for Markov Decision Processes

https://github.com/tudelft/neuromorphic_att_est_and_control

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Neuromorphic Attitude Estimation and Control

https://github.com/tufts-ai-robotics-group/automaton-guided-cl

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Automaton-Guided Curriculum Generation for Reinforcement Learning Agents

https://github.com/tumbais/hybridmadrl-amod

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Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems

https://github.com/tumbais/hybridmadrl-amod-relocation

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Multi-Agent Soft Actor-Critic with Coordinated Loss for Autonomous Mobility-on-Demand Fleet Control

https://github.com/tumbais/structured-rl

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Structured Reinforcement Learning for Combinatorial Decision-Making

https://github.com/tung-nd/tnp-pytorch

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Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling

https://github.com/tunglm2203/pcdt

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Predictive Coding for Decision Transformer

https://github.com/turuibo/cautabbench

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CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models

https://github.com/twitter-research/double-corrected-variance-estimator

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De-biasing "bias" measurement

https://github.com/twni2016/f-IRL

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f-IRL: Inverse Reinforcement Learning via State Marginal Matching

https://github.com/tyler-ingebrand/functionencoderrl

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Zero-Shot Reinforcement Learning via Function Encoders

https://github.com/tylerjamesmalloy/dimensionalattention

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Modeling Attention during Dimensional Shifts with Counterfactual and Delayed Feedback

https://github.com/tyliu22/online_pacgp

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Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making

https://github.com/ualberta-mueller-group/uamcts

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Monte Carlo Tree Search in the Presence of Transition Uncertainty

https://github.com/ubcms-xai/XAICoffea

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Explainable AI for ML jet taggers using expert variables and layerwise relevance propagation

https://github.com/ubicomplab/classification-to-clinical

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From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models

https://github.com/ubisoft/ubisoft-la-forge-ASAF

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Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization

https://github.com/ucamrl/xrlflow

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X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs Transformation

https://github.com/ucbdrive/skipnet

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SkipNet: Learning Dynamic Routing in Convolutional Networks

https://github.com/ucf-crcv/ted-spad

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TeD-SPAD: Temporal Distinctiveness for Self-supervised Privacy-preservation for video Anomaly Detection

https://github.com/uchiyama33/aosa

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Adaptive occlusion sensitivity analysis for visually explaining video recognition networks

https://github.com/ucla-starai/pc-discriminationpatterns

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Certifying Fairness of Probabilistic Circuits

https://github.com/ucla-trustworthy-ai-lab/fairrr

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FairRR: Pre-Processing for Group Fairness through Randomized Response

https://github.com/uclaml/vacdb

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Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits

https://github.com/uf-aiaos/shinyanimalcv

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Technical note: ShinyAnimalCV: open-source cloud-based web application for object detection, segmentation, and three-dimensional visualization of animals using computer vision

https://github.com/ujohn33/citylearn_scenarios

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Balancing Forecast Accuracy and Switching Costs in Online Optimization of Energy Management Systems

https://github.com/ukuhl/biasbackfiresxai2025

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When Bias Backfires: The Modulatory Role of Counterfactual Explanations on the Adoption of Algorithmic Bias in XAI-Supported Human Decision-Making

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