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Reinforcement Learning

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보존된 평가 기록

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코드

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

https://github.com/BaiLiping/Coaching

공식 코드

Accelerate Reinforcement Learning with PID Controllers in the Pendulum Simulations

https://github.com/BaiLiping/WirelessPowerTransfer

공식 코드

Multiagent Reinforcement Learning based Energy Beamforming Control

https://github.com/Baichenjia/OB2I

공식 코드

Principled Exploration via Optimistic Bootstrapping and Backward Induction

https://github.com/BarakGahtan/5GRIE

공식 코드

5G Routing Interfered Environment

https://github.com/BeastyZ/ConvSearch-R1

공식 코드

ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement Learning

https://github.com/Bellman-devs/bellman

공식 코드

Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow

https://github.com/BeloborodovDS/SIMCIM-RL

공식 코드

Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization

https://github.com/BigDataWUR/crop-gym

공식 코드

CropGym: a Reinforcement Learning Environment for Crop Management

https://github.com/Bilibili/LastOrder

공식 코드

Macro action selection with deep reinforcement learning in StarCraft

https://github.com/BitLhj/Ada-DyGNN

공식 코드

Robust Knowledge Adaptation for Dynamic Graph Neural Networks

https://github.com/BlackHC/mdp

공식 코드

MDP environments for the OpenAI Gym

https://github.com/BlueFisher/RL-PPO-with-Unity

공식 코드

Proximal Policy Optimization with Mixed Distributed Training

https://github.com/BlueRiverTech/quanser-openai-driver

공식 코드

Blue River Controls: A toolkit for Reinforcement Learning Control Systems on Hardware

https://github.com/BorealisAI/mtmfrl

공식 코드

Multi Type Mean Field Reinforcement Learning

https://github.com/BorealisAI/pommerman-baseline

공식 코드

Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition

https://github.com/Bradshard/Reinforcement_Learning/tree/main/rl_signal_filtering

공식 코드

Composite Reward Design in PPO-Driven Adaptive Filtering

https://github.com/Breakend/ClimateChangeFromMachineLearningResearch

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Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning

https://github.com/Breakend/EthicsInDialogue

공식 코드

Ethical Challenges in Data-Driven Dialogue Systems

https://github.com/Breakend/OptionGAN

공식 코드

OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning

https://github.com/Breakend/ReproducibilityInContinuousPolicyGradientMethods

공식 코드

Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control

https://github.com/Breakend/experiment-impact-tracker

공식 코드

Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning

https://github.com/BricksRL/bricksrl

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BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO

https://github.com/BruntonUWBio/plumetracknets

공식 코드

Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes

https://github.com/CAIR/deep-maze

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The Dreaming Variational Autoencoder for Reinforcement Learning Environments

https://github.com/CANVOLCANO/DPMAC

공식 코드

DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning

https://github.com/CAiM-lab/PPO

공식 코드

Reinforcement Learning of Musculoskeletal Control from Functional Simulations

https://github.com/CDMCH/gym-fetch-stack

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Curiosity-Driven Multi-Criteria Hindsight Experience Replay

https://github.com/CFMTech/Deep-RL-for-Portfolio-Optimization

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Deep Deterministic Portfolio Optimization

https://github.com/CIRLMDP/CIRL

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Inverse Reinforcement Learning in Contextual MDPs

https://github.com/CLAIR-LAB-TECHNION/multi_taxi

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Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning

https://github.com/CLEANit/heatenginegym

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Optimizing thermodynamic trajectories using evolutionary and gradient-based reinforcement learning

https://github.com/CLIVERCHEN/Marvel-O2O_Safe_RL

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Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy

https://github.com/CLeARoboticsLab/ssrl

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Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models

https://github.com/CMVS-Lab/SAC-Residual-Fusion-CARLA

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Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning

https://github.com/CN-TU/adversarial-recurrent-ids

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SparseIDS: Learning Packet Sampling with Reinforcement Learning

https://github.com/CN-TU/reinforcement-learning-for-per-flow-buffer-sizing

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LFQ: Online Learning of Per-flow Queuing Policies using Deep Reinforcement Learning

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