Environmental effects on emergent strategy in micro-scale multi-agent reinforcement learning

1 code implementation • 3 Jul 2023 • Samuel Tovey, David Zimmer, Christoph Lohrmann, Tobias Merkt, Simon Koppenhoefer, Veit-Lorenz Heuthe, Clemens Bechinger, Christian Holm

Multi-Agent Reinforcement Learning (MARL) is a promising candidate for realizing efficient control of microscopic particles, of which micro-robots are a subset.

Multi-agent Reinforcement Learning reinforcement-learning +1