Papers with Code 아카이브

Reinforcement Learning

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

162

보존된 평가 기록

1

코드

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

https://github.com/AaltoVision/realant-rl

공식 코드

RealAnt: An Open-Source Low-Cost Quadruped for Education and Research in Real-World Reinforcement Learning

https://github.com/Abdulmajid-Murad/IoT-Sensor-Gym

공식 코드

Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning

https://github.com/Abdulmajid-Murad/adaptive-sensing

공식 코드

Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning

https://github.com/AboudyKreidieh/h-baselines

공식 코드

Inter-Level Cooperation in Hierarchical Reinforcement Learning

https://github.com/ActionEmbedding/ActionEmbedding

공식 코드

Learning Action-Transferable Policy with Action Embedding

https://github.com/AdamStelmaszczyk/learning2run

공식 코드

Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments

https://github.com/AdrienLin1/MACDPP

공식 코드

Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization

https://github.com/AgnostiqHQ/multi-agent-llm

공식 코드

Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures

https://github.com/AhmedMagdyHendawy/MOORE

공식 코드

Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts

https://github.com/AlbertoSinigaglia/double_pendulum

공식 코드

AI Olympics challenge with Evolutionary Soft Actor Critic

https://github.com/Alescontrela/score_matching_rl

공식 코드

Learning a Diffusion Model Policy from Rewards via Q-Score Matching

https://github.com/Alessiobrini/Deep-Reinforcement-Trading-with-Predictable-Returns

공식 코드

Deep Reinforcement Trading with Predictable Returns

https://github.com/AlexBeesonWarwick/OfflineRLFactorisableActionSpaces

공식 코드

An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces

https://github.com/AlexandreChenu/DCIL_XPAG

공식 코드

Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration

https://github.com/AlexandreChenu/dcil

공식 코드

Divide & Conquer Imitation Learning

https://github.com/Algolzw/SPAC-Deformable-Registration

공식 코드

Stochastic Actor-Executor-Critic for Image-to-Image Translation

https://github.com/AliBeikmohammadi/TA-Explore

공식 코드

Human-Inspired Framework to Accelerate Reinforcement Learning

https://github.com/Altriaex/multi_source_behavior_modeling

공식 코드

Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning

https://github.com/Amaranth819/Bittle_Symmetry_RL

공식 코드

Symmetry-Guided Reinforcement Learning for Versatile Quadrupedal Gait Generation

https://github.com/AmmarFayad/Behavioral-Actor-Critic

공식 코드

Behavior-Guided Actor-Critic: Improving Exploration via Learning Policy Behavior Representation for Deep Reinforcement Learning

https://github.com/AndreaCossu/ContinualLearning-SequentialProcessing

공식 코드

Continual Learning with Gated Incremental Memories for sequential data processing

https://github.com/AndssY/DeMa

공식 코드

Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?

https://github.com/AnujMahajanOxf/MAVEN

공식 코드

MAVEN: Multi-Agent Variational Exploration

https://github.com/AnujMahajanOxf/VIREL

공식 코드

VIREL: A Variational Inference Framework for Reinforcement Learning

https://github.com/Applied-Machine-Learning-Lab/LLM_User_Simulator

공식 코드

LLM-Powered User Simulator for Recommender System

https://github.com/ApricityZ/TERL

공식 코드

TERL: Large-Scale Multi-Target Encirclement Using Transformer-Enhanced Reinforcement Learning

https://github.com/ArantxaCasanova/ralis

공식 코드

Reinforced active learning for image segmentation

https://github.com/Ardavans/DSR

공식 코드

Deep Successor Reinforcement Learning

https://github.com/ArminS03/CAREL

공식 코드

CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectives

https://github.com/ArronDZhang/ROLeR

공식 코드

ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems

https://github.com/AskNowQA/DeepShallowParsingQA

공식 코드

Distantly Supervised Question Parsing

https://github.com/AtmaHou/UserSimulator

공식 코드

A Corpus-free State2Seq User Simulator for Task-oriented Dialogue

https://github.com/BIT-MCS/Cadre

공식 코드

CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving

https://github.com/BME-SmartLab/rl-wds

공식 코드

Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution Systems

https://github.com/BNN-UPC/ENERO

공식 코드

ENERO: Efficient Real-Time WAN Routing Optimization with Deep Reinforcement Learning

https://github.com/BU-DEPEND-Lab/DRIBO

공식 코드

DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck

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