Reinforcement learning (RL) is a subfield of machine learning dedicated to teaching agents to make a sequence of decisions through interactions with a dynamic environment. In RL, an agent observes the ...
Multi-Agent Reinforcement Learning (MARL) is an emerging subfield of artificial intelligence that investigates how multiple autonomous agents can learn collaboratively and competitively within an ...
FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.
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