RF-Agent: Automated Reward Function Design via Language Agent Tree Search
RF-Agent: Automated Reward Function Design via Language Agent Tree Search explores RF-Agent automates reward function design for control tasks using language agents and Monte Carlo Tree Search, enhancing efficiency and optimization.. Commercial viability score: 7/10 in Agents.
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