A two-agent quantum RL framework with 2-qubit circuits and shared memory reports 99.6% and 99.5% success in a 10x10x3 gridworld, claiming better results than MADDPG and SAC on success and navigation metrics.
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Q-ARDNS-Multi: A Multi-Agent Quantum Reinforcement Learning Framework with Meta-Cognitive Adaptation for Complex 3D Environments
A two-agent quantum RL framework with 2-qubit circuits and shared memory reports 99.6% and 99.5% success in a 10x10x3 gridworld, claiming better results than MADDPG and SAC on success and navigation metrics.