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"Symphony: Learning Realistic and Diverse Agents for Autonomous Driving ..."

Maximilian Igl et al. (2022)

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DOI: 10.48550/ARXIV.2205.03195

access: open

type: Informal or Other Publication

metadata version: 2022-05-11

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  - journals/corr/abs-2205-03195
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  - https://dblp.org/rec/journals/corr/abs-2205-03195
Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, Shimon Whiteson:
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation. CoRR abs/2205.03195 (2022)

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