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Decision Making

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코드

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

https://github.com/carldegio/curiosity-diffuser

CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making

https://github.com/carmilea/carmilea

DAWN: Designing Distributed Agents in a Worldwide Network

https://github.com/carol-long/fairness_and_arbitrariness

Arbitrariness Lies Beyond the Fairness-Accuracy Frontier

https://github.com/carriex/lfqa_eval

WebGPT: Browser-assisted question-answering with human feedback

https://github.com/cassidylaidlaw/effective-horizon

Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset

https://github.com/cassie07/pathomics

Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction

https://github.com/cathyhxh/ctds

QPLEX: Duplex Dueling Multi-Agent Q-Learning

https://github.com/cavalab/feat

Genetic programming approaches to learning fair classifiers

https://github.com/ccolas/rl_stats

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/cdslabamotong/USCO-Solver

USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems

https://github.com/cejuicreamice/R_easy_RL_fix

Amplifying the Imitation Effect for Reinforcement Learning of UCAV's Mission Execution

https://github.com/cekbote/gans_and_vaes_for_rna-seq

Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification

https://github.com/cesarojuliana/feature_importance_fairness

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

https://github.com/cgrivera/ai-safety-challenge

TanksWorld: A Multi-Agent Environment for AI Safety Research

https://github.com/chandar-lab/RLHive

The Hanabi Challenge: A New Frontier for AI Research

https://github.com/charlotte-charmlab/fibottention

Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning

https://github.com/cheezzjazz/graph_nets

Relational inductive biases, deep learning, and graph networks

https://github.com/chengyui/nuwats

Position: What Can Large Language Models Tell Us about Time Series Analysis

https://github.com/chenzhenpeng18/biasmitigationstudy

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

https://github.com/chenzhenpeng18/fse22-maat

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

https://github.com/chenzhenpeng18/icse24-multi-attribute-fairness

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

https://github.com/chenzhenpeng18/tosem23-biasmitigationstudy

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

https://github.com/chernyadev/bigym

BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark

https://github.com/chicagohai/hypoeval-gen

Literature Meets Data: A Synergistic Approach to Hypothesis Generation

https://github.com/chicagohai/hypothesis_generation

Literature Meets Data: A Synergistic Approach to Hypothesis Generation

https://github.com/cindycia/Atari-SAC-Discrete

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/cjx0525/BGCN

Bundle Recommendation with Graph Convolutional Networks

https://github.com/clinplayer/3DModelingRL

Modeling 3D Shapes by Reinforcement Learning

https://github.com/clvrai/relation-network-tensorflow

Visual Interaction Networks

https://github.com/cmbagent/cmbagent

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

https://github.com/cmbagents/cmbagent

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

https://github.com/cmc623/Formation-control-with-lane-preference

Formation Control for Connected and Automated Vehicles on Multi-lane Roads: Relative Motion Planning and Conflict Resolution

https://github.com/cmc623/flexible-lane-direction-intersection

Formation Control for Connected and Automated Vehicles on Multi-lane Roads: Relative Motion Planning and Conflict Resolution

https://github.com/cmc623/formation-control-experiments

Formation Control for Connected and Automated Vehicles on Multi-lane Roads: Relative Motion Planning and Conflict Resolution

https://github.com/codelion/optillm

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

https://github.com/cog-imperial/concrete_GBT_instance_for_mixed_integer_convex_optimization_with_GBTs_embedded

Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.