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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 ]





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
Optimizing Audio Recommendations for the Long-Term (Spotlight)
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data (Poster)
Semi-analytical Industrial Cooling System Model for Reinforcement Learning (Poster)
Optimizing Audio Recommendations for the Long-Term (Poster)
MARLIM: Multi-Agent Reinforcement Learning for Inventory Management (Spotlight)
Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning (Spotlight)
Hierarchical Reinforcement Learning for Furniture Layout in Virtual Indoor Scenes (Spotlight)
LibSignal: An Open Library for Traffic Signal Control (Poster)
Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response (Spotlight)
Automatic Evaluation of Excavator Operators using Learned Reward Functions (Spotlight)
Function Approximations for Reinforcement Learning Controller for Wave Energy Converters (Spotlight)
Function Approximations for Reinforcement Learning Controller for Wave Energy Converters (Poster)
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data (Spotlight)
Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning (Poster)
Identifying Disparities in Sepsis Treatment by Learning the Expert Policy (Spotlight)
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)
tinyMAN: Lightweight Energy Manager using Reinforcement Learning for Energy Harvesting Wearable IoT Devices (Poster)
Pareto-Optimal Diagnostic Policy Learning in Clinical Applications via Semi-Model-Based Deep Reinforcement Learning (Spotlight)
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms (Poster)
LibSignal: An Open Library for Traffic Signal Control (Spotlight)
Controlling Commercial Cooling Systems Using Reinforcement Learning (Poster)
Controlling Commercial Cooling Systems Using Reinforcement Learning (Spotlight)
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs (Poster)
Learning an Adaptive Forwarding Strategy for Mobile Wireless Networks: Resource Usage vs. Latency (Poster)
Learning an Adaptive Forwarding Strategy for Mobile Wireless Networks: Resource Usage vs. Latency (Spotlight)
Power Grid Congestion Management via Topology Optimization with AlphaZero (Spotlight)
Structured Q-learning For Antibody Design (Spotlight)
An Empirical Evaluation of Posterior Sampling for Constrained Reinforcement Learning (Spotlight)
MARLIM: Multi-Agent Reinforcement Learning for Inventory Management (Poster)
Structured Q-learning For Antibody Design (Poster)
An Empirical Evaluation of Posterior Sampling for Constrained Reinforcement Learning (Poster)
Automatic Evaluation of Excavator Operators using Learned Reward Functions (Poster)
Hierarchical Reinforcement Learning for Furniture Layout in Virtual Indoor Scenes (Poster)
tinyMAN: Lightweight Energy Manager using Reinforcement Learning for Energy Harvesting Wearable IoT Devices (Spotlight)
Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies (Poster)
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs (Spotlight)
A Versatile and Efficient Reinforcement Learning Approach for Autonomous Driving (Spotlight)
Safe Reinforcement Learning for Automatic Insulin Delivery in Type I Diabetes (Poster)
Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response (Poster)
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization (Poster)
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization (Spotlight)
Reinforcement Learning-Based Air Traffic Deconfliction (Poster)
Reinforcement Learning-Based Air Traffic Deconfliction (Spotlight)
Semi-analytical Industrial Cooling System Model for Reinforcement Learning (Spotlight)
A Versatile and Efficient Reinforcement Learning Approach for Autonomous Driving (Poster)
Power Grid Congestion Management via Topology Optimization with AlphaZero (Poster)
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management (Spotlight)
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management (Poster)
Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies (Spotlight)
Pareto-Optimal Diagnostic Policy Learning in Clinical Applications via Semi-Model-Based Deep Reinforcement Learning (Poster)
Safe Reinforcement Learning for Automatic Insulin Delivery in Type I Diabetes (Spotlight)