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

https://github.com/jqueeney/geppo

공식 코드

Generalized Proximal Policy Optimization with Sample Reuse

https://github.com/jqueeney/gpi

공식 코드

Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse

https://github.com/jqueeney/robust-safe-rl

공식 코드

Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees

https://github.com/jren03/garage

공식 코드

Hybrid Inverse Reinforcement Learning

https://github.com/jrg2223/utilising-deep-learning-to-elicit-expert-uncertainty

공식 코드

Utilising Deep Learning to Elicit Expert Uncertainty

https://github.com/jrieke/cnn-interpretability

공식 코드

Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer's Disease

https://github.com/jschweisthal/complexpartialidentif

공식 코드

Learning Representations of Instruments for Partial Identification of Treatment Effects

https://github.com/juliarozanova/nli_xy

공식 코드

Decomposing Natural Logic Inferences in Neural NLI

https://github.com/julienleprince/hierarchicallearning

공식 코드

Hierarchical learning, forecasting coherent spatio-temporal individual and aggregated building loads

https://github.com/juliusfrost/cfrl-rllib

공식 코드

Explaining Reinforcement Learning Policies through Counterfactual Trajectories

https://github.com/jungtaekkim/losan-lofav

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Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization

https://github.com/junhua/awesome-finance-ai-papers

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A Survey of Financial AI: Architectures, Advances and Open Challenges

https://github.com/junhua/bgm-han

공식 코드

Towards Objective and Unbiased Decision Assessments with LLM-Enhanced Hierarchical Attention Networks

https://github.com/junhyukoh/self-imitation-learning

공식 코드

Self-Imitation Learning

https://github.com/juzehao/befl

공식 코드

BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT

https://github.com/jwatsondaniels/multitarget-multiplicity

공식 코드

Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints

https://github.com/jwcalder/predictionpde

공식 코드

Numerical solution of a PDE arising from prediction with expert advice

https://github.com/jwfanggit/lotvs-cap

공식 코드

Cognitive Accident Prediction in Driving Scenes: A Multimodality Benchmark

https://github.com/jxbbb/adapt

공식 코드

ADAPT: Action-aware Driving Caption Transformer

https://github.com/jxbi1010/koap

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Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers

https://github.com/jyhong0304/concept_centric_transformers

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Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace

https://github.com/jyopari/VINN

공식 코드

The Surprising Effectiveness of Representation Learning for Visual Imitation

https://github.com/jzcs2018/ai4ed2024

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LogicPrpBank: A Corpus for Logical Implication and Equivalence

https://github.com/jzy95310/deep_sci

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Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments

https://github.com/k00lk0der1/synthpoppp

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Synthpop++: A Hybrid Framework for Generating A Country-scale Synthetic Population

https://github.com/kaczmarj/hippo

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Explainable AI for computational pathology identifies model limitations and tissue biomarkers

https://github.com/kailas-v/human-ai-interactions

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Uncalibrated Models Can Improve Human-AI Collaboration

https://github.com/kailliang/Lane-Change-Classification-and-Prediction-with-Action-Recognition-Networks

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Lane Change Classification and Prediction with Action Recognition Networks

https://github.com/kaimaoge/stpn

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Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction

https://github.com/kaist-silab/equity-transformer

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Equity-Transformer: Solving NP-hard Min-Max Routing Problems as Sequential Generation with Equity Context

https://github.com/kaist-silab/himap

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HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding

https://github.com/kaixhin/gudrl

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All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL

https://github.com/kaiyin97/disaster_ir

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DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster Management

https://github.com/kallekku/cmcgs

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Continuous Monte Carlo Graph Search

https://github.com/kami93/CMU-DATF

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Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding

https://github.com/kangdj6358/emsrl

공식 코드

Optimal Planning of Hybrid Energy Storage Systems using Curtailed Renewable Energy through Deep Reinforcement Learning

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