140 citations · 948 across the 57 of their papers we have counts for
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cs.LG2020
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
Wenshuai Zhao, Jorge Peña Queralta, Tomi Westerlund
Deep reinforcement learning has recently seen huge success across multiple areas in the robotics domain. Owing to the limitations of gathering real-world data, i.e., sample ineffic…
cs.LG2020★ 2 cited
Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning
Wenshuai Zhao, Jorge Peña Queralta, Li Qingqing +1
Current research directions in deep reinforcement learning include bridging the simulation-reality gap, improving sample efficiency of experiences in distributed multi-agent reinfo…