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Sequential Decision Making

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코드

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

https://github.com/tyler-ingebrand/functionencoderrl

공식 코드

Zero-Shot Reinforcement Learning via Function Encoders

https://github.com/ucamrl/xrlflow

공식 코드

X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs Transformation

https://github.com/ucbdrive/skipnet

공식 코드

SkipNet: Learning Dynamic Routing in Convolutional Networks

https://github.com/umd-huang-lab/elbert

공식 코드

Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate

https://github.com/umdatasciencelab/llm-in-the-loop-bo

공식 코드

LLINBO: Trustworthy LLM-in-the-Loop Bayesian Optimization

https://github.com/uoe-agents/cema

공식 코드

Causal Explanations for Sequential Decision-Making in Multi-Agent Systems

https://github.com/uzh-rpg/rl_vo

공식 코드

Reinforcement Learning Meets Visual Odometry

https://github.com/vanderschaarlab/mlforhealthlabpub/tree/main/alg/rnn-blockwise-jackknife

공식 코드

Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions

https://github.com/vaseline555/aaggff

공식 코드

Pursuing Overall Welfare in Federated Learning through Sequential Decision Making

https://github.com/vdblm/ExPerior

공식 코드

Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity

https://github.com/vijeth27/learningwithhist

공식 코드

Online Decision Making with History-Average Dependent Costs (Extended)

https://github.com/vineetjain96/merlin

공식 코드

Learning to Reach Goals via Diffusion

https://github.com/vios-s/mri_sequential_active_sampling

공식 코드

Active Sampling for MRI-based Sequential Decision Making

https://github.com/williambug/event_driven_rl

공식 코드

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes

https://github.com/wiseodd/laplace-bayesopt

공식 코드

Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization

https://github.com/wmgithub/fairness

공식 코드

Algorithms for Fairness in Sequential Decision Making

https://github.com/wuhuikai/TF-A2RL

공식 코드

A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping

https://github.com/wywywang/coachai-projects

공식 코드

Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion

https://github.com/xiaohangt/ardt

공식 코드

Adversarially Robust Decision Transformer

https://github.com/xingdi-eric-yuan/GATA-public

공식 코드

Learning Dynamic Belief Graphs to Generalize on Text-Based Games

https://github.com/xingdi-eric-yuan/imrc_public

공식 코드

Interactive Machine Comprehension with Information Seeking Agents

https://github.com/xingyuzhou989/privatetabularrl

공식 코드

Differentially Private Regret Minimization in Episodic Markov Decision Processes

https://github.com/xiusic/diffuser_bball

공식 코드

PlayBest: Professional Basketball Player Behavior Synthesis via Planning with Diffusion

https://github.com/yaotang23/currmask

공식 코드

Learning Versatile Skills with Curriculum Masking

https://github.com/yaoweihu/achieving-long-term-fairness

공식 코드

Achieving Long-Term Fairness in Sequential Decision Making

https://github.com/yaoweihu/generative-models-for-fairness

공식 코드

Long-Term Fair Decision Making through Deep Generative Models

https://github.com/yashchandak/UnO

공식 코드

Universal Off-Policy Evaluation

https://github.com/yashchandak/activens

공식 코드

Off-Policy Evaluation for Action-Dependent Non-Stationary Environments

https://github.com/yenchenlin/rl-attack-detection

공식 코드

Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight

https://github.com/yinxusen/learning_to_generalize

공식 코드

Learning to Generalize for Sequential Decision Making

https://github.com/yuancheng-xu/elbert

공식 코드

Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate

https://github.com/yunke-wang/dp-il

공식 코드

Imitation Learning from Purified Demonstrations

https://github.com/yusonghust/HierarchicyBandit

공식 코드

Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations

https://github.com/zaza0209/dirl

공식 코드

Doubly Inhomogeneous Reinforcement Learning

https://github.com/zcchenvy/CIL-DDQN

공식 코드

Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem

https://github.com/zhangry868/S2VGD

공식 코드

Learning Structural Weight Uncertainty for Sequential Decision-Making

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