Abstract: In the rapidly advancing Reinforcement Learning (RL) field, Multi-Agent Reinforcement Learning (MARL) has emerged as a key player in solving complex real-world challenges. A pivotal ...
Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
Abstract: Recently, the autonomous driving technology is at a critical phase evolving from typical, closed scenarios to large-scale, open driving scenarios, which is challenged by the diversity and ...
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