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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/lovis-heindrich/MGPS-project-selection

공식 코드

Leveraging automatic strategy discovery to teach people how to select better projects

https://github.com/lscharwaechter/transformergan

공식 코드

Representation Learning of Multivariate Time Series using Attention and Adversarial Training

https://github.com/ltian678/cma-r

공식 코드

CMA-R:Causal Mediation Analysis for Explaining Rumour Detection

https://github.com/ltluttmann/marl4msprp

공식 코드

Learning to Solve the Min-Max Mixed-Shelves Picker-Routing Problem via Hierarchical and Parallel Decoding

https://github.com/ltzheng/synapse

공식 코드

Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

https://github.com/lucaballotta/processingnetworks-rl

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A Reinforcement Learning Approach to Sensing Design in Resource-Constrained Wireless Networked Control Systems

https://github.com/lucascjysdl/dgms-for-offline-policy-learning

공식 코드

Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions

https://github.com/lucascjysdl/hdcfr

공식 코드

Hierarchical Deep Counterfactual Regret Minimization

https://github.com/lucascjysdl/hierairl

공식 코드

Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control

https://github.com/lucascjysdl/multi-task-hierarchical-airl

공식 코드

Multi-task Hierarchical Adversarial Inverse Reinforcement Learning

https://github.com/luchang1113/hep-llm-play-starcraftii

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Hierarchical Expert Prompt for Large-Language-Model: An Approach Defeat Elite AI in TextStarCraft II for the First Time

https://github.com/luciferkonn/dt_mem

공식 코드

Think Before You Act: Decision Transformers with Working Memory

https://github.com/lucky-fan/gp_tse

공식 코드

Traffic State Estimation from Vehicle Trajectories with Anisotropic Gaussian Processes

https://github.com/luffycodes/tutorbot-spock

공식 코드

CLASS: A Design Framework for building Intelligent Tutoring Systems based on Learning Science principles

https://github.com/luiscarlosgph/ipcl

공식 코드

Intrapapillary Capillary Loop Classification in Magnification Endoscopy: Open Dataset and Baseline Methodology

https://github.com/lujiaming-12138/dualight

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DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge

https://github.com/luka-group/ddr

공식 코드

Dense Retrieval as Indirect Supervision for Large-space Decision Making

https://github.com/luka-kovacevic/causalregnet

공식 코드

Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation Experiments

https://github.com/lukaskirchdorfer/agentsimulator

공식 코드

AgentSimulator: An Agent-based Approach for Data-driven Business Process Simulation

https://github.com/luo-lorry/CIA

공식 코드

Conformalized Interval Arithmetic with Symmetric Calibration

https://github.com/lux0926/asprm

공식 코드

AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence

https://github.com/lviano/p2il

공식 코드

Proximal Point Imitation Learning

https://github.com/lviano/robust_gaifo

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Robust Learning from Observation with Model Misspecification

https://github.com/lvyiwei1/dime

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DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations

https://github.com/ly9802/DynamicAccumulatedAttentionMap

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Dynamic Accumulated Attention Map for Interpreting Evolution of Decision-Making in Vision Transformer

https://github.com/lyeskhalil/corl

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Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach

https://github.com/lz2379/Kernel_Assisted_Learning

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Kernel Assisted Learning for Personalized Dose Finding

https://github.com/lzh-ys1998/sthsl

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Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction

https://github.com/lzino90/behavior

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Game-theoretic modeling of collective decision-making during epidemics

https://github.com/lzoltan35/duckietown_imitation_learning

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Imitation Learning for Generalizable Self-driving Policy with Sim-to-real Transfer

https://github.com/lzqw/c-hac

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Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous Driving

https://github.com/m-hasan-n/hlp

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Human-like Planning for Reaching in Cluttered Environments

https://github.com/m-nauta/pipnet

공식 코드

Interpreting and Correcting Medical Image Classification with PIP-Net

https://github.com/m4d-sc1entist/mega-dagger

공식 코드

MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts

https://github.com/machengshen/stable-bc

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Denoising-based Contractive Imitation Learning

https://github.com/machine-perception-robotics-group/attention_branch_network

공식 코드

Attention Branch Network: Learning of Attention Mechanism for Visual Explanation

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