Skip to yearly menu bar Skip to main content


( events)   Timezone:  
Workshop
Sat Dec 03 05:30 AM -- 03:00 PM (PST) @ Theater A None
Reinforcement Learning for Real Life (RL4RealLife) Workshop
Yuxi Li · Emma Brunskill · MINMIN CHEN · Omer Gottesman · Lihong Li · Yao Liu · Zhiwei Tony Qin · Matthew Taylor
[ Contact: RL4RealLife@gmail.com ]





Workshop Home Page

Discover how to improve the adoption of RL in practice, by discussing key research problems, SOTA, and success stories / insights / lessons w.r.t. practical RL algorithms, practical issues, and applications with leading experts from both academia and industry @ NeurIPS 2022 RL4RealLife workshop.

posters (for early birds, optional) (posters)
opening remarks
Invited talk: Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning (talk)
Invited talk: Scaling reinforcement learning in the real world, from gaming to finance to manufacturing (talk)
Intro speaker (In-person Intro)
Invited talk: Deep Reinforcement Learning for Real-World Inventory Management (talk)
Coffee break
Panel RL Implementation (Panel)
Panel RL Benchmarks (Panel)
Lunch Break / Posters (Poster/Break)
Invited talk AlphaTensor: Discovering faster matrix multiplication algorithms with RL (talk)
Panel RL Theory-Practice Gap (Panel)
closing remarks
Coffee break / Posters
Posters
Controlling Commercial Cooling Systems Using Reinforcement Learning (Poster)
Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response (Spotlight)
Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies (Poster)
Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning (Spotlight)
Semi-analytical Industrial Cooling System Model for Reinforcement Learning (Poster)
Safe Reinforcement Learning for Automatic Insulin Delivery in Type I Diabetes (Poster)
Power Grid Congestion Management via Topology Optimization with AlphaZero (Spotlight)
Identifying Disparities in Sepsis Treatment by Learning the Expert Policy (Spotlight)
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms (Poster)
Reinforcement Learning-Based Air Traffic Deconfliction (Poster)
Reinforcement Learning-Based Air Traffic Deconfliction (Spotlight)
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management (Poster)
An Empirical Evaluation of Posterior Sampling for Constrained Reinforcement Learning (Spotlight)
MARLIM: Multi-Agent Reinforcement Learning for Inventory Management (Poster)
A Versatile and Efficient Reinforcement Learning Approach for Autonomous Driving (Spotlight)
Structured Q-learning For Antibody Design (Poster)
Hierarchical Reinforcement Learning for Furniture Layout in Virtual Indoor Scenes (Poster)
Learning an Adaptive Forwarding Strategy for Mobile Wireless Networks: Resource Usage vs. Latency (Spotlight)
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management (Spotlight)
LibSignal: An Open Library for Traffic Signal Control (Poster)
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs (Poster)
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization (Spotlight)
Pareto-Optimal Diagnostic Policy Learning in Clinical Applications via Semi-Model-Based Deep Reinforcement Learning (Poster)
Controlling Commercial Cooling Systems Using Reinforcement Learning (Spotlight)
Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response (Poster)
Identifying Disparities in Sepsis Treatment by Learning the Expert Policy (Poster)
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms (Spotlight)
Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies (Spotlight)
Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning (Poster)
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data (Poster)
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data (Spotlight)
Automatic Evaluation of Excavator Operators using Learned Reward Functions (Poster)
Function Approximations for Reinforcement Learning Controller for Wave Energy Converters (Poster)
Function Approximations for Reinforcement Learning Controller for Wave Energy Converters (Spotlight)
A Versatile and Efficient Reinforcement Learning Approach for Autonomous Driving (Poster)
An Empirical Evaluation of Posterior Sampling for Constrained Reinforcement Learning (Poster)
tinyMAN: Lightweight Energy Manager using Reinforcement Learning for Energy Harvesting Wearable IoT Devices (Spotlight)
Optimizing Audio Recommendations for the Long-Term (Poster)
MARLIM: Multi-Agent Reinforcement Learning for Inventory Management (Spotlight)
Semi-analytical Industrial Cooling System Model for Reinforcement Learning (Spotlight)
Structured Q-learning For Antibody Design (Spotlight)
Learning an Adaptive Forwarding Strategy for Mobile Wireless Networks: Resource Usage vs. Latency (Poster)
Hierarchical Reinforcement Learning for Furniture Layout in Virtual Indoor Scenes (Spotlight)
Safe Reinforcement Learning for Automatic Insulin Delivery in Type I Diabetes (Spotlight)
Power Grid Congestion Management via Topology Optimization with AlphaZero (Poster)
LibSignal: An Open Library for Traffic Signal Control (Spotlight)
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs (Spotlight)
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization (Poster)
Pareto-Optimal Diagnostic Policy Learning in Clinical Applications via Semi-Model-Based Deep Reinforcement Learning (Spotlight)
Automatic Evaluation of Excavator Operators using Learned Reward Functions (Spotlight)
tinyMAN: Lightweight Energy Manager using Reinforcement Learning for Energy Harvesting Wearable IoT Devices (Poster)
Optimizing Audio Recommendations for the Long-Term (Spotlight)