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Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion
Neural Information Processing Systems
Work done during an internship at Zoox 37th Conference on Neural Information Processing Systems (NeurIPS 2023).
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Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem
Neural Information Processing Systems
The joint decisions of the agents influence both individual rewards and the transition of the environment. MARL in general is occupied with leading the multi-agent system to a favorable outcome. Through the lens of game theory, the notion of a "favorable outcome" is formally defined through concepts like a Nash
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