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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/vision4robotics/HiFT

공식 코드

HiFT: Hierarchical Feature Transformer for Aerial Tracking

https://github.com/visionjo/facerec-bias-bfw

공식 코드

Balancing Biases and Preserving Privacy on Balanced Faces in the Wild

https://github.com/vita-epfl/cim

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Causal Imitative Model for Autonomous Driving

https://github.com/vita-group/o1-planning

공식 코드

On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability

https://github.com/vittoriogiammarino/ail_from_visual_obs

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Adversarial Imitation Learning from Visual Observations using Latent Information

https://github.com/vittoriogiammarino/bootstrapping-rl-4-sequential-picking

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Unsupervised Reward Shaping for a Robotic Sequential Picking Task from Visual Observations in a Logistics Scenario

https://github.com/vittoriogiammarino/c-laifo

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Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning

https://github.com/vittoriogiammarino/rl-for-unloading-from-pixels

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A Reinforcement Learning Approach for Robotic Unloading from Visual Observations

https://github.com/vivekmyers/contrastive_metrics

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Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making

https://github.com/vnemani14/uq_ml_review

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Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial

https://github.com/vnnm404/SaGE

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SaGE: Evaluating Moral Consistency in Large Language Models

https://github.com/vqdang/h2t

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Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide Images

https://github.com/vshy-dream/drexplainer

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DRExplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network

https://github.com/vuoristo/deconfounding

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Deconfounding Imitation Learning with Variational Inference

https://github.com/vwieccresearch/swaptransformer

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SwapTransformer: highway overtaking tactical planner model via imitation learning on OSHA dataset

https://github.com/vzhong/language_feedback_models

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Policy Improvement using Language Feedback Models

https://github.com/wang-chen/interestingness

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Visual Memorability for Robotic Interestingness via Unsupervised Online Learning

https://github.com/wang2226/folk

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Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models

https://github.com/wangben88/interventional-robustness

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Provable Guarantees on the Robustness of Decision Rules to Causal Interventions

https://github.com/wanger521/ogd

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Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment

https://github.com/wangln19/yui

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Revisiting Day-ahead Electricity Price: Simple Model Save Millions

https://github.com/wangpf3/pinto-faithful-language-reasoning

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PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales

https://github.com/wangtongada/HyRS

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Gaining Free or Low-Cost Transparency with Interpretable Partial Substitute

https://github.com/wanmok/iterx

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Iterative Document-level Information Extraction via Imitation Learning

https://github.com/wanyingzhao/collective_narrative_shift

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Discovering collective narratives shifts in online discussions

https://github.com/waste-wood/ford

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Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate

https://github.com/waste-wood/reco

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ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks

https://github.com/waterhorse1/chessgpt

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ChessGPT: Bridging Policy Learning and Language Modeling

https://github.com/waterhorse1/llm_tree_search

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Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training

https://github.com/waterhorse1/natural-language-rl

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Natural Language Reinforcement Learning

https://github.com/watermeleon/shortcut_mechanisms

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Short-circuiting Shortcuts: Mechanistic Investigation of Shortcuts in Text Classification

https://github.com/watermeloncq/drl-dynamic-optimization-portfolio-SB3py37

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A Deep Reinforcement Learning Framework for Dynamic Portfolio Optimization: Evidence from China's Stock Market

https://github.com/watonomous/action-classification

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RALACs: Action Recognition in Autonomous Vehicles using Interaction Encoding and Optical Flow

https://github.com/wayveai/driving-with-llms

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Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

https://github.com/wayveai/lingoqa

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LingoQA: Visual Question Answering for Autonomous Driving

https://github.com/wayveai/mile

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Model-Based Imitation Learning for Urban Driving

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