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physics.bio-ph2024
Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning
Samuel Tovey, Christoph Lohrmann, Christian Holm
Reinforcement learning (RL) is a flexible and efficient method for programming micro-robots in complex environments. Here we investigate whether reinforcement learning can provide…
physics.bio-ph2023★ 1 cited
Environmental effects on emergent strategy in micro-scale multi-agent reinforcement learning
Samuel Tovey, David Zimmer, Christoph Lohrmann +5
Multi-Agent Reinforcement Learning (MARL) is a promising candidate for realizing efficient control of microscopic particles, of which micro-robots are a subset. However, the micros…