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Reinforcement Learning

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코드

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

https://github.com/nmerkle/sw_journal

공식 코드

Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent Ensembles

https://github.com/nnaisense/max

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Model-Based Active Exploration

https://github.com/nnbay/MeicalChatbot-HRL

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Hierarchical Reinforcement Learning for Automatic Disease Diagnosis

https://github.com/noahshinn024/reflexion

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Reflexion: Language Agents with Verbal Reinforcement Learning

https://github.com/nobodymx/sorl-for-auto-bidding

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Sustainable Online Reinforcement Learning for Auto-bidding

https://github.com/nobukatsu-kajiura/Self-Play-RL

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Self-Play Reinforcement Learning for Fast Image Retargeting

https://github.com/noc-lab/sac-expert

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A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations

https://github.com/noesyslab/drl_ris_tutorial

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Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces

https://github.com/nokpil/SocialNet

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Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning

https://github.com/nolanwagener/safe_rl

공식 코드

Safe Reinforcement Learning Using Advantage-Based Intervention

https://github.com/nortem/sitp

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Reinforcement Learning with Success Induced Task Prioritization

https://github.com/npapadis/payment-channel-rebalancing

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Deep Reinforcement Learning-based Rebalancing Policies for Profit Maximization of Relay Nodes in Payment Channel Networks

https://github.com/npaulinastevia/drl_se

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A Comparison of Reinforcement Learning Frameworks for Software Testing Tasks

https://github.com/nplawrence/stablebehavior.jl

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Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior

https://github.com/nrel/rlc4clr

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Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration

https://github.com/nrgrp/cvx_irl

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Inverse Reinforcement Learning via Convex Optimization

https://github.com/nrontsis/PILCO

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SafePILCO: a software tool for safe and data-efficient policy synthesis

https://github.com/nsaph-projects/weather2alert

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Optimizing Heat Alert Issuance with Reinforcement Learning

https://github.com/nsidn98/NICE

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NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming

https://github.com/nsidn98/informarl

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Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

https://github.com/ntienvu/BOIL

공식 코드

Bayesian Optimization for Iterative Learning

https://github.com/ntienvu/KnownOptimum_BO

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Knowing The What But Not The Where in Bayesian Optimization

https://github.com/ntu-icg/ams-drl-for-pursuit-evasion

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Learning Multi-Pursuit Evasion for Safe Targeted Navigation of Drones

https://github.com/ntu-uavg/ams-drl-for-pursuit-evasion

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Learning Multi-Pursuit Evasion for Safe Targeted Navigation of Drones

https://github.com/ntu-uavg/collaborative-target-search-vision-drone-swarm

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Collaborative Target Search with a Visual Drone Swarm: An Adaptive Curriculum Embedded Multistage Reinforcement Learning Approach

https://github.com/ntu-uavg/cts-visual-drone-swarm

공식 코드

Collaborative Target Search with a Visual Drone Swarm: An Adaptive Curriculum Embedded Multistage Reinforcement Learning Approach

https://github.com/nu-dialogue/antor

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Adaptive Natural Language Generation for Task-oriented Dialogue via Reinforcement Learning

https://github.com/nu-dialogue/post-processing-networks

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Post-processing Networks: Method for Optimizing Pipeline Task-oriented Dialogue Systems using Reinforcement Learning

https://github.com/nubot-nudt/SG-D3QN

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Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online Planning

https://github.com/nudt-bi-marl/pmat

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PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning

https://github.com/nuria95/O-RAAC

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Risk-Averse Offline Reinforcement Learning

https://github.com/nvecoven/nmd_net

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Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours

https://github.com/nvlabs/gbrl

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Gradient Boosting Reinforcement Learning

https://github.com/nvlabs/gbrl_sb3

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Gradient Boosting Reinforcement Learning

https://github.com/nvlabs/rlcc

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Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs

https://github.com/nyu-dl/QueryReformulator

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Task-Oriented Query Reformulation with Reinforcement Learning

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