4 citations · 9 across the 4 of their papers we have counts for
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cs.AI2023★ 2 cited
Enhancing Robotic Manipulation: Harnessing the Power of Multi-Task Reinforcement Learning and Single Life Reinforcement Learning in Meta-World
Ghadi Nehme, Ishan Sabane, Tejas Y. Deo
At present, robots typically require extensive training to successfully accomplish a single task. However, to truly enhance their usefulness in real-world scenarios, robots should…
cs.AI2023★ 3 cited
Safe Navigation: Training Autonomous Vehicles using Deep Reinforcement Learning in CARLA
Ghadi Nehme, Tejas Y. Deo
Autonomous vehicles have the potential to revolutionize transportation, but they must be able to navigate safely in traffic before they can be deployed on public roads. The goal of…