6 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.AI2020★ 6 cited
Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle
Qilei Zhang, Jinying Lin, Qixin Sha +2
Autonomous underwater vehicle (AUV) plays an increasingly important role in ocean exploration. Existing AUVs are usually not fully autonomous and generally limited to pre-planning…
cs.AI2019★ 1 cited
Improving Interactive Reinforcement Agent Planning with Human Demonstration
Guangliang Li, Randy Gomez, Keisuke Nakamura +3
TAMER has proven to be a powerful interactive reinforcement learning method for allowing ordinary people to teach and personalize autonomous agents' behavior by providing evaluativ…