Papers with Code 아카이브

Decision Making

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코드

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

https://github.com/WuJie1010/TSP-PRL

공식 코드

Tree-Structured Policy based Progressive Reinforcement Learning for Temporally Language Grounding in Video

https://github.com/XanderJC/inverse-online

공식 코드

Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies

https://github.com/XanderJC/medkit-learn

공식 코드

The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation

https://github.com/XanderJC/scalable-birl

공식 코드

Scalable Bayesian Inverse Reinforcement Learning

https://github.com/XiaoxiaoGuo/tensor4rl

공식 코드

Hybrid Reinforcement Learning with Expert State Sequences

https://github.com/XiaoxinHe/TAPE

공식 코드

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning

https://github.com/Xiaoyao-Li/Ag2Manip

공식 코드

Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations

https://github.com/Xmaster6y/lczero-planning

공식 코드

Contrastive Sparse Autoencoders for Interpreting Planning of Chess-Playing Agents

https://github.com/YSale/label-uq

공식 코드

Label-wise Aleatoric and Epistemic Uncertainty Quantification

https://github.com/YanickT/Infoflow-paper

공식 코드

Opening the Black Box: predicting the trainability of deep neural networks with reconstruction entropy

https://github.com/YanjieZe/3D-Diffusion-Policy

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3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

https://github.com/YanjieZe/GNFactor

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GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields

https://github.com/YannisZa/GeNSIT

공식 코드

Generating Origin-Destination Matrices in Neural Spatial Interaction Models

https://github.com/YaoMarkMu/DOMINO_MB-MetaRL

공식 코드

Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning

https://github.com/YicongHong/Recurrent-VLN-BERT

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A Recurrent Vision-and-Language BERT for Navigation

https://github.com/Yifan-Gao/Discern

공식 코드

Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading

https://github.com/Yifan-Gao/explicit_memory_tracker

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EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading

https://github.com/YoshikiKubotani/rltutor

공식 코드

RLTutor: Reinforcement Learning Based Adaptive Tutoring System by Modeling Virtual Student with Fewer Interactions

https://github.com/Yu-Group/covid19-severity-prediction

공식 코드

Curating a COVID-19 data repository and forecasting county-level death counts in the United States

https://github.com/Yuantian013/Sym-Q

공식 코드

Sym-Q: Adaptive Symbolic Regression via Sequential Decision-Making

https://github.com/YunqiuXu/SHA-KG

공식 코드

Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games

https://github.com/Yusufma03/CVRL

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Contrastive Variational Reinforcement Learning for Complex Observations

https://github.com/Yusufma03/DPFRL

공식 코드

Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations

https://github.com/ZONG0004/MacroHFT

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MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading

https://github.com/Zhendong-Wang/Thompson-Sampling-via-Local-Uncertainty

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Thompson Sampling via Local Uncertainty

https://github.com/Zhengbo-Zhang/ITKD

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Instance Temperature Knowledge Distillation

https://github.com/ZhengyaoJiang/PGPortfolio

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Cryptocurrency Portfolio Management with Deep Reinforcement Learning

https://github.com/ZhengyaoJiang/latentplan

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Efficient Planning in a Compact Latent Action Space

https://github.com/ZhiyuZ-research/Hieararchical-IL

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Provable Hierarchical Imitation Learning via EM

https://github.com/ZhiyuuanS/DiVE

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Enhancing Agent Learning through World Dynamics Modeling

https://github.com/ZidiXiu/VSI

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Variational Learning of Individual Survival Distributions

https://github.com/ZurichNLP/emnlp2018-imitation-learning-for-neural-morphology

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Imitation Learning for Neural Morphological String Transduction

https://github.com/ZuyiZhou/Awesome-Interpretable-Cross-modal-Reasoning

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A Survey on Interpretable Cross-modal Reasoning

https://github.com/a-taniguchi/SpCoNavi

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Spatial Concept-Based Navigation with Human Speech Instructions via Probabilistic Inference on Bayesian Generative Model

https://github.com/aagarwal1996/additive_trees

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A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds

https://github.com/aair-lab/capability-discovery

공식 코드

Discovering User-Interpretable Capabilities of Black-Box Planning Agents

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