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QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning
Once a joint policy is obtained, it is critical to design a value function factorization method to extract optimal decentralized policies for the agents, which needs to satisfy the individual-global-max (IGM) principle.
Economic MPC-based planning for marine vehicles: Tuning safety and energy efficiency
Energy efficiency and safety are two critical objectives for marine vehicles operating in environments with obstacles, and they generally conflict with each other.
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