6 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.RO2023★ 6 cited
PyFlyt -- UAV Simulation Environments for Reinforcement Learning Research
Jun Jet Tai, Jim Wong, Mauro Innocente +3
Unmanned aerial vehicles (UAVs) have numerous applications, but their efficient and optimal flight can be a challenge. Reinforcement Learning (RL) has emerged as a promising approa…
cs.LG2022★ 1 cited
Some Supervision Required: Incorporating Oracle Policies in Reinforcement Learning via Epistemic Uncertainty Metrics
Jun Jet Tai, Jordan K. Terry, Mauro S. Innocente +2
An inherent problem of reinforcement learning is performing exploration of an environment through random actions, of which a large portion can be unproductive. Instead, exploration…