Search Results for author: Daniel Ionita

Found 1 papers, 1 papers with code

The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition

2 code implementations23 Jan 2019 Diego Perez-Liebana, Katja Hofmann, Sharada Prasanna Mohanty, Noburu Kuno, Andre Kramer, Sam Devlin, Raluca D. Gaina, Daniel Ionita

Learning in multi-agent scenarios is a fruitful research direction, but current approaches still show scalability problems in multiple games with general reward settings and different opponent types.

Multi-agent Reinforcement Learning reinforcement-learning +1

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