5 citations · 7 across the 3 of their papers we have counts for
3 papers
Learning to Detect Touches on Cluttered Tables
Norberto Adrian Goussies, Kenji Hata, Shruthi Prabhakara +28
We present a novel self-contained camera-projector tabletop system with a lamp form-factor that brings digital intelligence to our tables. We propose a real-time, on-device, learni…
Extreme Q-Learning: MaxEnt RL without Entropy
Divyansh Garg, Joey Hejna, Matthieu Geist +1
Modern Deep Reinforcement Learning (RL) algorithms require estimates of the maximal Q-value, which are difficult to compute in continuous domains with an infinite number of possibl…
Retrospective on the 2021 BASALT Competition on Learning from Human Feedback
Rohin Shah, Steven H. Wang, Cody Wild +13
We held the first-ever MineRL Benchmark for Agents that Solve Almost-Lifelike Tasks (MineRL BASALT) Competition at the Thirty-fifth Conference on Neural Information Processing Syst…