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2212.01939
Cited By

Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary
Search under Trajectory-based Guidance

Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-based Guidance

AAAI Conference on Artificial Intelligence (AAAI), 2022

4 December 2022

Vanshaj Khattar

Ming Jin

ArXiv (abs)PDF HTML

Papers citing "Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-based Guidance"

5 / 5 papers shown

Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning

Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning

Claude Formanek

Jonathan P. Shock

260

2

0

18 Sep 2024

Optimization Solution Functions as Deterministic Policies for Offline
Reinforcement Learning

Optimization Solution Functions as Deterministic Policies for Offline Reinforcement LearningAmerican Control Conference (ACC), 2024

Vanshaj Khattar

204

0

0

27 Aug 2024

Preparing for Black Swans: The Antifragility Imperative for Machine
Learning

Preparing for Black Swans: The Antifragility Imperative for Machine Learning

335

7

0

18 May 2024

A Human-on-the-Loop Optimization Autoformalism Approach for
Sustainability

A Human-on-the-Loop Optimization Autoformalism Approach for Sustainability

Ming Jin

107

4

0

20 Aug 2023

Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent
Reinforcement Learning

Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement Learning

Claude Formanek

Jonathan P. Shock

381

3

0

01 Feb 2023

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