Driving SMARTS is a regular competition designed to tackle problems caused by the distribution shift in dynamic interaction contexts that are prevalent in ...
Nov 14, 2022 · The proposed competition supports methodologically diverse solutions, such as reinforcement learning (RL) and offline learning methods, trained ...
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The 2022 NeurIPS Driving SMARTS Competition has now ended! Many thanks to all the organizers and participants who contributed to the competition. The ...
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The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent Competition ... Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome. Amir ...
Driving SMARTS is a regular competition aiming to tackle problems caused by the distribution shift in dynamic interaction contexts that are prevalent in real- ...
May 31, 2022 · Today, we introduce the competitions that have been accepted at NeurIPS 2022 Competition Track. It seemed especially challenging this year given ...
The proposed competition supports methodolog-ically diverse solutions, such as reinforcement learning (RL) and offline learning methods, ...
This competition seeks to advance autonomous driving by developing agents that can drive as quickly and safely as possible from the start to destination amid ...
Missing: Insights | Show results with:Insights
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world. Eugene Vinitsky ...
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We use the Reinforment Learning algorithm for online-learning in the Track 1 of this competition. Reinforcement learning is the training of machine learning ...