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most citedMission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications

2 citations · 3 across the 5 of their papers we have counts for

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cs.RO2023★ 2 cited

Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications

Jun Wang, Hosein Hasanbeig, Kaiyuan Tan +2

This paper addresses the problem of designing control policies for agents with unknown stochastic dynamics and control objectives specified using Linear Temporal Logic (LTL). Recen…