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Workshop

Reinforcement Learning for Real Life (RL4RealLife) Workshop

Yuxi Li ⋅ Emma Brunskill ⋅ MINMIN CHEN ⋅ Omer Gottesman ⋅ Lihong Li ⋅ Yao Liu ⋅ Zhiwei Tony Qin ⋅ Matthew Taylor
Project Page [ Contact: RL4RealLife@gmail.com ]

Abstract

Video

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Schedule

Time zone: Conference local time zone
8:25 AM
opening remarks
9:30 AM
Intro speaker
10:00 AM
Coffee break
10:20 AM
Panel RL Implementation
Xiaolin Ge ⋅ Alborz Geramifard ⋅ Kence Anderson ⋅ Craig Buhr ⋅ Robert Nishihara ⋅ Yuandong Tian
11:10 AM
Panel RL Benchmarks
Minmin Chen ⋅ Pablo Samuel Castro ⋅ Caglar Gulcehre ⋅ Tony Jebara ⋅ Peter Stone
2:00 PM
Panel RL Theory-Practice Gap
Peter Stone ⋅ Matej Balog ⋅ Jonas Buchli ⋅ Jason Gauci ⋅ Dhruv Madeka
2:55 PM
closing remarks
3:30 PM
Posters
An Empirical Evaluation of Posterior Sampling for Constrained Reinforcement Learning
Danil Provodin ⋅ Pratik Gajane ⋅ Mykola Pechenizkiy ⋅ Maurits Kaptein
An Empirical Evaluation of Posterior Sampling for Constrained Reinforcement Learning
Danil Provodin ⋅ Pratik Gajane ⋅ Mykola Pechenizkiy ⋅ Maurits Kaptein
MARLIM: Multi-Agent Reinforcement Learning for Inventory Management
Rémi Leluc ⋅ Elie Kadoche ⋅ Antoine Bertoncello ⋅ Sébastien Gourvénec
MARLIM: Multi-Agent Reinforcement Learning for Inventory Management
Rémi Leluc ⋅ Elie Kadoche ⋅ Antoine Bertoncello ⋅ Sébastien Gourvénec
A Versatile and Efficient Reinforcement Learning Approach for Autonomous Driving
Guan Wang ⋅ Haoyi Niu ⋅ desheng zhu ⋅ Jianming HU ⋅ Xianyuan Zhan ⋅ Guyue Zhou
A Versatile and Efficient Reinforcement Learning Approach for Autonomous Driving
Guan Wang ⋅ Haoyi Niu ⋅ desheng zhu ⋅ Jianming HU ⋅ Xianyuan Zhan ⋅ Guyue Zhou
Structured Q-learning For Antibody Design
Alexander Cowen-Rivers ⋅ Philip John Gorinski ⋅ aivar sootla ⋅ Asif Khan ⋅ Jun WANG ⋅ Jan Peters ⋅ Haitham Bou Ammar
Structured Q-learning For Antibody Design
Alexander Cowen-Rivers ⋅ Philip John Gorinski ⋅ aivar sootla ⋅ Asif Khan ⋅ Jun WANG ⋅ Jan Peters ⋅ Haitham Bou Ammar
Learning an Adaptive Forwarding Strategy for Mobile Wireless Networks: Resource Usage vs. Latency
Victoria Manfredi ⋅ Alicia Wolfe ⋅ Xiaolan Zhang ⋅ Bing Wang
Learning an Adaptive Forwarding Strategy for Mobile Wireless Networks: Resource Usage vs. Latency
Victoria Manfredi ⋅ Alicia Wolfe ⋅ Xiaolan Zhang ⋅ Bing Wang
Safe Reinforcement Learning for Automatic Insulin Delivery in Type I Diabetes
Maxime Louis ⋅ Hector Romero Ugalde ⋅ Pierre Gauthier ⋅ Alice Adenis ⋅ Yousra Tourki ⋅ Erik Huneker
Safe Reinforcement Learning for Automatic Insulin Delivery in Type I Diabetes
Maxime Louis ⋅ Hector Romero Ugalde ⋅ Pierre Gauthier ⋅ Alice Adenis ⋅ Yousra Tourki ⋅ Erik Huneker
Power Grid Congestion Management via Topology Optimization with AlphaZero
Matthias Dorfer ⋅ Anton R. Fuxjaeger ⋅ Kristián Kozák ⋅ Patrick Blies ⋅ Marcel Wasserer
Power Grid Congestion Management via Topology Optimization with AlphaZero
Matthias Dorfer ⋅ Anton R. Fuxjaeger ⋅ Kristián Kozák ⋅ Patrick Blies ⋅ Marcel Wasserer
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management
Yuandong Ding ⋅ Mingxiao Feng ⋅ Guozi Liu ⋅ Wei Jiang ⋅ Chuheng Zhang ⋅ Li Zhao ⋅ Lei Song ⋅ Houqiang Li ⋅ Yan Jin ⋅ Jiang Bian
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management
Yuandong Ding ⋅ Mingxiao Feng ⋅ Guozi Liu ⋅ Wei Jiang ⋅ Chuheng Zhang ⋅ Li Zhao ⋅ Lei Song ⋅ Houqiang Li ⋅ Yan Jin ⋅ Jiang Bian
LibSignal: An Open Library for Traffic Signal Control
Hao Mei ⋅ Xiaoliang Lei ⋅ Longchao Da ⋅ Bin Shi ⋅ Hua Wei
LibSignal: An Open Library for Traffic Signal Control
Hao Mei ⋅ Xiaoliang Lei ⋅ Longchao Da ⋅ Bin Shi ⋅ Hua Wei
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs
Benjamin Fuhrer ⋅ Yuval Shpigelman ⋅ Chen Tessler ⋅ Shie Mannor ⋅ Gal Chechik ⋅ Eitan Zahavi ⋅ Gal Dalal
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs
Benjamin Fuhrer ⋅ Yuval Shpigelman ⋅ Chen Tessler ⋅ Shie Mannor ⋅ Gal Chechik ⋅ Eitan Zahavi ⋅ Gal Dalal
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization
Kaixuan Huang ⋅ Yu Wu ⋅ Xuezhou Zhang ⋅ Shenyinying Tu ⋅ Qingyun Wu ⋅ Mengdi Wang ⋅ Huazheng Wang
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization
Kaixuan Huang ⋅ Yu Wu ⋅ Xuezhou Zhang ⋅ Shenyinying Tu ⋅ Qingyun Wu ⋅ Mengdi Wang ⋅ Huazheng Wang
Pareto-Optimal Diagnostic Policy Learning in Clinical Applications via Semi-Model-Based Deep Reinforcement Learning
zheng Yu ⋅ Yikuan Li ⋅ Joseph Kim ⋅ Kaixuan Huang ⋅ Yuan Luo ⋅ Mengdi Wang
Pareto-Optimal Diagnostic Policy Learning in Clinical Applications via Semi-Model-Based Deep Reinforcement Learning
zheng Yu ⋅ Yikuan Li ⋅ Joseph Kim ⋅ Kaixuan Huang ⋅ Yuan Luo ⋅ Mengdi Wang
Optimizing Audio Recommendations for the Long-Term
Lucas Maystre ⋅ Daniel Russo ⋅ Yu Zhao
Optimizing Audio Recommendations for the Long-Term
Lucas Maystre ⋅ Daniel Russo ⋅ Yu Zhao
Controlling Commercial Cooling Systems Using Reinforcement Learning
Jerry Luo ⋅ Cosmin Paduraru ⋅ Octavian Voicu ⋅ Yuri Chervonyi ⋅ Scott Munns ⋅ Jerry Li ⋅ Crystal Qian ⋅ Praneet Dutta ⋅ Daniel Mankowitz ⋅ Jared Quincy Davis ⋅ Ningjia Wu ⋅ Xingwei Yang ⋅ Chu-Ming Chang ⋅ Ted Li ⋅ Rob Rose ⋅ Mingyan Fan ⋅ Hootan Nakhost ⋅ Tinglin Liu ⋅ Deeni Fatiha ⋅ Neil Satra ⋅ Juliet Rothenberg ⋅ Molly Carlin ⋅ Satish Tallapaka ⋅ Sims Witherspoon ⋅ David Parish ⋅ Peter Dolan ⋅ Chenyu Zhao
Controlling Commercial Cooling Systems Using Reinforcement Learning
Jerry Luo ⋅ Cosmin Paduraru ⋅ Octavian Voicu ⋅ Yuri Chervonyi ⋅ Scott Munns ⋅ Jerry Li ⋅ Crystal Qian ⋅ Praneet Dutta ⋅ Daniel Mankowitz ⋅ Jared Quincy Davis ⋅ Ningjia Wu ⋅ Xingwei Yang ⋅ Chu-Ming Chang ⋅ Ted Li ⋅ Rob Rose ⋅ Mingyan Fan ⋅ Hootan Nakhost ⋅ Tinglin Liu ⋅ Deeni Fatiha ⋅ Neil Satra ⋅ Juliet Rothenberg ⋅ Molly Carlin ⋅ Satish Tallapaka ⋅ Sims Witherspoon ⋅ David Parish ⋅ Peter Dolan ⋅ Chenyu Zhao
Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response
Vincent Mai ⋅ Philippe Maisonneuve ⋅ Tianyu Zhang ⋅ Jorge Montalvo Arvizu ⋅ Liam Paull ⋅ Antoine Lesage-Landry
Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response
Vincent Mai ⋅ Philippe Maisonneuve ⋅ Tianyu Zhang ⋅ Jorge Montalvo Arvizu ⋅ Liam Paull ⋅ Antoine Lesage-Landry
Identifying Disparities in Sepsis Treatment by Learning the Expert Policy
Hyewon Jeong ⋅ Siddharth Nayak ⋅ Taylor Killian ⋅ Sanjat Kanjilal ⋅ Marzyeh Ghassemi
Identifying Disparities in Sepsis Treatment by Learning the Expert Policy
Hyewon Jeong ⋅ Siddharth Nayak ⋅ Taylor Killian ⋅ Sanjat Kanjilal ⋅ Marzyeh Ghassemi
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms
Vashist Avadhanula ⋅ Omar Abdul Baki ⋅ Hamsa Bastani ⋅ Osbert Bastani ⋅ Caner Gocmen ⋅ Daniel Haimovich ⋅ Darren Hwang ⋅ Dmytro Karamshuk ⋅ Thomas Leeper ⋅ Jiayuan Ma ⋅ Gregory macnamara ⋅ Jake Mullet ⋅ Christopher Palow ⋅ Sung Park ⋅ Varun S Rajagopal ⋅ Kevin Schaeffer ⋅ Parikshit Shah ⋅ Deeksha Sinha ⋅ Nicolas Stier-Moses ⋅ Ben Xu
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms
Vashist Avadhanula ⋅ Omar Abdul Baki ⋅ Hamsa Bastani ⋅ Osbert Bastani ⋅ Caner Gocmen ⋅ Daniel Haimovich ⋅ Darren Hwang ⋅ Dmytro Karamshuk ⋅ Thomas Leeper ⋅ Jiayuan Ma ⋅ Gregory macnamara ⋅ Jake Mullet ⋅ Christopher Palow ⋅ Sung Park ⋅ Varun S Rajagopal ⋅ Kevin Schaeffer ⋅ Parikshit Shah ⋅ Deeksha Sinha ⋅ Nicolas Stier-Moses ⋅ Ben Xu
Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies
Melody Wolk ⋅ Andy Applebaum ⋅ Camron Dennler ⋅ Patrick Dwyer ⋅ Marina Moskowitz ⋅ Harold Nguyen ⋅ Nicole Nichols ⋅ Nicole Park ⋅ Paul Rachwalski ⋅ Frank Rau ⋅ Adrian Webster
Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies
Melody Wolk ⋅ Andy Applebaum ⋅ Camron Dennler ⋅ Patrick Dwyer ⋅ Marina Moskowitz ⋅ Harold Nguyen ⋅ Nicole Nichols ⋅ Nicole Park ⋅ Paul Rachwalski ⋅ Frank Rau ⋅ Adrian Webster
Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning
William Wong ⋅ Praneet Dutta ⋅ Octavian Voicu ⋅ Yuri Chervonyi ⋅ Cosmin Paduraru ⋅ Jerry Luo
Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning
William Wong ⋅ Praneet Dutta ⋅ Octavian Voicu ⋅ Yuri Chervonyi ⋅ Cosmin Paduraru ⋅ Jerry Luo
Reinforcement Learning-Based Air Traffic Deconfliction
Denis Osipychev ⋅ Dragos Margineantu
Reinforcement Learning-Based Air Traffic Deconfliction
Denis Osipychev ⋅ Dragos Margineantu
Automatic Evaluation of Excavator Operators using Learned Reward Functions
Pranav Agarwal ⋅ Marek Teichmann ⋅ Sheldon Andrews ⋅ Samira Ebrahimi Kahou
Automatic Evaluation of Excavator Operators using Learned Reward Functions
Pranav Agarwal ⋅ Marek Teichmann ⋅ Sheldon Andrews ⋅ Samira Ebrahimi Kahou
Function Approximations for Reinforcement Learning Controller for Wave Energy Converters
Soumyendu Sarkar ⋅ Vineet Gundecha ⋅ Alexander Shmakov ⋅ Sahand Ghorbanpour ⋅ Ashwin Ramesh Babu ⋅ Alexandre Pichard ⋅ Mathieu Cocho
Function Approximations for Reinforcement Learning Controller for Wave Energy Converters
Soumyendu Sarkar ⋅ Vineet Gundecha ⋅ Alexander Shmakov ⋅ Sahand Ghorbanpour ⋅ Ashwin Ramesh Babu ⋅ Alexandre Pichard ⋅ Mathieu Cocho