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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/quilograma/aenbmimocqr

공식 코드

A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting

https://github.com/quinfer/fXAI

공식 코드

Explaining AI in Finance: Past, Present, Prospects

https://github.com/qxcv/magical

공식 코드

The MAGICAL Benchmark for Robust Imitation

https://github.com/qyyin/Reinforce4ZP

공식 코드

Deep Reinforcement Learning for Chinese Zero pronoun Resolution

https://github.com/rabbit-magic-wh/InDL

공식 코드

InDL: A New Dataset and Benchmark for In-Diagram Logic Interpretation based on Visual Illusion

https://github.com/rachtibat/zennit-crp

공식 코드

From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation

https://github.com/rafaelamartelo/floodgpt-4_prototype

공식 코드

Towards Democratized Flood Risk Management: An Advanced AI Assistant Enabled by GPT-4 for Enhanced Interpretability and Public Engagement

https://github.com/rafaol/batch-bore-with-guarantees

공식 코드

Batch Bayesian optimisation via density-ratio estimation with guarantees

https://github.com/ragen-ai/ragen

공식 코드

RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning

https://github.com/ragerri/antidote-projections

공식 코드

Cross-lingual Argument Mining in the Medical Domain

https://github.com/rahbararman/cost-efficient-odm

공식 코드

Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach

https://github.com/rahulkidambi/mobile-neurips2021

공식 코드

MobILE: Model-Based Imitation Learning From Observation Alone

https://github.com/rail-berkeley/BridgeData-V2

공식 코드

BridgeData V2: A Dataset for Robot Learning at Scale

https://github.com/rail-berkeley/softlearning

공식 코드

Soft Actor-Critic Algorithms and Applications

https://github.com/raise-lab/soc-nav-training

공식 코드

Improving Generalization in Reinforcement Learning Training Regimes for Social Robot Navigation

https://github.com/rajeevpatwari/anynet

공식 코드

Analysis & Computational Complexity Reduction of Monocular and Stereo Depth Estimation Techniques

https://github.com/ral94/rlcbm

공식 코드

Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems

https://github.com/ralphc1212/amortized-approximation-of-induced-distribution

공식 코드

Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex

https://github.com/ralur/integrating-expert-judgment

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Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework

https://github.com/raminghorbanii/pate

공식 코드

PATE: Proximity-Aware Time series anomaly Evaluation

https://github.com/ran-weii/bmirl_tf

공식 코드

A Bayesian Approach to Robust Inverse Reinforcement Learning

https://github.com/raphael-sch/velma

공식 코드

VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View

https://github.com/raphaelmemmesheimer/simitate

공식 코드

Simitate: A Hybrid Imitation Learning Benchmark

https://github.com/rationalityenhancement/interpretablehumanplanning

공식 코드

Automatic Discovery and Description of Human Planning Strategies

https://github.com/raunakkmr/non-monotonic-resource-utilization-in-the-bandits-with-knapsacks-problem-code

공식 코드

Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem

https://github.com/ravikt/gril

공식 코드

Imitation Learning with Human Eye Gaze via Multi-Objective Prediction

https://github.com/raymond-qiancx/dyncim

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DynCIM: Dynamic Curriculum for Imbalanced Multimodal Learning

https://github.com/rayyoh/ocrm_survey

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A Survey of Embodied Learning for Object-Centric Robotic Manipulation

https://github.com/razla/xai-based-detection-of-adversarial-attacks-on-deepfake-detectors

공식 코드

XAI-Based Detection of Adversarial Attacks on Deepfake Detectors

https://github.com/rcrupiisp/isparity

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Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation

https://github.com/rddy/pico

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Pragmatic Image Compression for Human-in-the-Loop Decision-Making

https://github.com/reail-iitd/goalnet

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GoalNet: Inferring Conjunctive Goal Predicates from Human Plan Demonstrations for Robot Instruction Following

https://github.com/reaile/bias-explainer

공식 코드

How Biased are Your Features?: Computing Fairness Influence Functions with Global Sensitivity Analysis

https://github.com/real-stanford/xskill

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XSkill: Cross Embodiment Skill Discovery

https://github.com/realmoana/proxyexplainer

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Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks

https://github.com/reglab/glove-v

공식 코드

Statistical Uncertainty in Word Embeddings: GloVe-V

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