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cs.MA2024
Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations
David Goll, Jobst Heitzig, Wolfram Barfuss
Multi-Agent Reinforcement Learning involves agents that learn together in a shared environment, leading to emergent dynamics sensitive to initial conditions and parameter variation…
cs.MA2018
Deterministic limit of temporal difference reinforcement learning for stochastic games
Wolfram Barfuss, Jonathan F. Donges, Jürgen Kurths
Reinforcement learning in multiagent systems has been studied in the fields of economic game theory, artificial intelligence and statistical physics by developing an analytical und…