Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause 0001. Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 19580-19597, PMLR, 2022. [doi]

This author has not been identified. Look up 'Pier Giuseppe Sessa' in GoogleThis author has not been identified. Look up 'Maryam Kamgarpour' in GoogleThis author has not been identified. Look up 'Andreas Krause 0001' in Google

runs on WebDSL