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PhD Thesis Defense
Offline Learning for Stochastic Multi-Agent Planning in Autonomous Driving
GHC 4405Abstract: Fully autonomous vehicles have the potential to greatly reduce vehicular accidents and revolutionize how people travel and how we transport goods. Many of the major challenges for autonomous driving systems emerge from the numerous traffic situations that require complex interactions with other agents. For the foreseeable future, autonomous vehicles will have to share the [...]