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Ryan Tolsma

1 accepted papers

2020

Learning Latent Representations to Influence Multi-Agent Interaction

CoRL 2020

Seamlessly interacting with humans or robots is hard because these agents are non-stationary. They update their policy in response to the ego agent’s behavior, and the ego agent must anticipate these changes to co-adapt. Inspired by humans, we recognize that robots do not need to explicitly model ev

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