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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/borisivanovic/planningawareevaluation

공식 코드

Injecting Planning-Awareness into Prediction and Detection Evaluation

https://github.com/boschresearch/dist-mbrl

공식 코드

Value-Distributional Model-Based Reinforcement Learning

https://github.com/boschresearch/fagil

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Fail-Safe Adversarial Generative Imitation Learning

https://github.com/boschresearch/hee_dataset

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Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers

https://github.com/boschresearch/information-theoretic-safe-exploration

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Information-Theoretic Safe Exploration with Gaussian Processes

https://github.com/boschresearch/trajectory_games_learning

공식 코드

Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers

https://github.com/bowen-upenn/Agent_Rationality

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Towards Rationality in Language and Multimodal Agents: A Survey

https://github.com/brachiolab/sop

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

https://github.com/braingpt-lovelab/haico

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Confidence-weighted integration of human and machine judgments for superior decision-making

https://github.com/brats-inpainting/2023_challenge

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The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting

https://github.com/brinnaebent/semantic-consistency-score

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Semantic Approach to Quantifying the Consistency of Diffusion Model Image Generation

https://github.com/brmson/dataset-sts

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Joint Learning of Sentence Embeddings for Relevance and Entailment

https://github.com/bryanoliveira/sliding-puzzles-gym

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Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning

https://github.com/bsccampello/tensorpredictionsignals

공식 코드

Multicriteria decision support employing adaptive prediction in a tensor-based feature representation

https://github.com/bstadie/third_person_im

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Third-Person Imitation Learning

https://github.com/buds-lab/filling-time-series-gaps-using-image-techniques

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Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation

https://github.com/budzianowski/multiwoz

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LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization

https://github.com/bugsuse/weather4cast-2022-stage2

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Super-resolution Probabilistic Rain Prediction from Satellite Data Using 3D U-Nets and EarthFormers

https://github.com/buoyancy99/diffusion-forcing

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Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

https://github.com/buseskorkmaz/arteo

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Safe and Adaptive Decision-Making for Optimization of Safety-Critical Systems: The ARTEO Algorithm

https://github.com/bwhub/Graph_Traversal_Order_in_Device_Placement

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Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement

https://github.com/c-w-d/edit

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Beyond Imitation: Learning Key Reasoning Steps from Dual Chain-of-Thoughts in Reasoning Distillation

https://github.com/c0derzer0/RSPMN

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Recurrent Sum-Product-Max Networks for Decision Making in Perfectly-Observed Environments

https://github.com/caihuaiguang/CHG-Shapley-for-Data-Selection

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CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning

https://github.com/caihuaiguang/CHG-Shapley-for-Data-Valuation

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CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning

https://github.com/caileng/rtbagent

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RTBAgent: A LLM-based Agent System for Real-Time Bidding

https://github.com/caipeide/VTGNet

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VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments

https://github.com/caiqi/silver-bullet-3d

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Silver-Bullet-3D at ManiSkill 2021: Learning-from-Demonstrations and Heuristic Rule-based Methods for Object Manipulation

https://github.com/caisa-lab/opinionconv

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OpinionConv: Conversational Product Search with Grounded Opinions

https://github.com/caisr-hh/combineuserenvironment

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A New Bandit Setting Balancing Information from State Evolution and Corrupted Context

https://github.com/calvinyeungck/Football-1-vs-1-Shot-Taking-Situations-Analysis

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A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game Theory

https://github.com/calvinyeungck/analyzing-two-agents-interaction-in-football-shot-taking-situations

공식 코드

A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game Theory

https://github.com/cambridge-mlg/expressiveness-approx-bnns

공식 코드

On the Expressiveness of Approximate Inference in Bayesian Neural Networks

https://github.com/cambridge-mlg/sgd-gp

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Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent

https://github.com/cameronfabbri/Underwater-Color-Correction

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Enhancing Underwater Imagery using Generative Adversarial Networks

https://github.com/cangcn/nes-ht

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Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning

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