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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/darioizzo/neurostability

공식 코드

On the stability analysis of deep neural network representations of an optimal state-feedback

https://github.com/darkefyre/sepsisrl

공식 코드

Deep Reinforcement Learning for Sepsis Treatment

https://github.com/darthsimpus/RQNN

공식 코드

Random Quantum Neural Networks (RQNN) for Noisy Image Recognition

https://github.com/darwinai/TuberculosisNet

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TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases from Chest X-ray Images

https://github.com/data-and-decision-lab/defix

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DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving

https://github.com/data-dream-gdsp/Multiplex-CoT

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MyGO Multiplex CoT: A Method for Self-Reflection in Large Language Models via Double Chain of Thought Thinking

https://github.com/data-science-in-mechanical-engineering/space

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Scale-Preserving Automatic Concept Extraction (SPACE)

https://github.com/dataminr-ai/humvi-dataset

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HumVI: A Multilingual Dataset for Detecting Violent Incidents Impacting Humanitarian Aid

https://github.com/david-jenny/llm-political-study

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Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis

https://github.com/daviddebot/CMR

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Interpretable Concept-Based Memory Reasoning

https://github.com/davidrburt/pm25-forecasting-framework

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A Framework for Evaluating PM2.5 Forecasts from the Perspective of Individual Decision Making

https://github.com/davidrey123/vaccine_allocation

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Vaccine allocation policy optimization and budget sharing mechanism using Thompson sampling

https://github.com/davidruegamer/generalized_orthogonalization

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Generalizing Orthogonalization for Models with Non-Linearities

https://github.com/davidzoltowski/ssmdm

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Unifying and generalizing models of neural dynamics during decision-making

https://github.com/ddddwy/Reinforce-Paraphrase-Generation

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An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation

https://github.com/ddm-lab/greedy-hysteretic-lenient-maibl

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Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models

https://github.com/ddm-lab/speedyibl

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SpeedyIBL: A Comprehensive, Precise, and Fast Implementation of Instance-Based Learning Theory

https://github.com/deakinmt/dsse_send

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Smart Energy Network Digital Twins: Findings from a UK-Based Demonstrator Project

https://github.com/deanhazineh/emergent-world-representations-othello

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Linear Latent World Models in Simple Transformers: A Case Study on Othello-GPT

https://github.com/debadeepta/vnla

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Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention

https://github.com/deboraengelmann/rv4jaca

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RV4JaCa -- Runtime Verification for Multi-Agent Systems

https://github.com/debugml/sop

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Sum-of-Parts: Faithful Attributions for Groups of Features

https://github.com/decibrain-group/dsgbench

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DSGBench: A Diverse Strategic Game Benchmark for Evaluating LLM-based Agents in Complex Decision-Making Environments

https://github.com/decisionforce/metadrive

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MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning

https://github.com/decisionintelligence/k2vae

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$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting

https://github.com/decodepfl/followtheclairvoyant

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Follow the Clairvoyant: an Imitation Learning Approach to Optimal Control

https://github.com/deeksha-sethi03/nl-imbalanced-learning

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Neurochaos Feature Transformation and Classification for Imbalanced Learning

https://github.com/deeplearnxmu/dmd

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A Dual-Perspective Metaphor Detection Framework Using Large Language Models

https://github.com/deepmedicine/Targeted-BEHRT

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Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health records

https://github.com/deepmind/dm_control

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From Motor Control to Team Play in Simulated Humanoid Football

https://github.com/deepmind/graph_nets

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Relational inductive biases, deep learning, and graph networks

https://github.com/deepmind/graphcast

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GraphCast: Learning skillful medium-range global weather forecasting

https://github.com/deepmind/neural_lns

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Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs

https://github.com/deepmind/open_spiel

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Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning

https://github.com/deepmind/spaceship_dataset

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Metacontrol for Adaptive Imagination-Based Optimization

https://github.com/deepmind/streetlearn

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The StreetLearn Environment and Dataset

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