no code implementations • CVPR 2021 • Bohan Wu, Suraj Nair, Roberto Martin-Martin, Li Fei-Fei, Chelsea Finn
Our key insight is that greedy and modular optimization of hierarchical autoencoders can simultaneously address both the memory constraints and the optimization challenges of large-scale video prediction.
Ranked #1 on Video Prediction on Cityscapes 128x128
1 code implementation • 24 Oct 2019 • Chengshu Li, Fei Xia, Roberto Martin-Martin, Silvio Savarese
Different from other HRL solutions, HRL4IN handles the heterogeneous nature of the Interactive Navigation task by creating subgoals in different spaces in different phases of the task.
Hierarchical Reinforcement Learning reinforcement-learning +1
1 code implementation • 9 Sep 2019 • Andrey Kurenkov, Ajay Mandlekar, Roberto Martin-Martin, Silvio Savarese, Animesh Garg
The exploration mechanism used by a Deep Reinforcement Learning (RL) agent plays a key role in determining its sample efficiency.
no code implementations • 22 Jun 2018 • Noriaki Hirose, Amir Sadeghian, Fei Xia, Roberto Martin-Martin, Silvio Savarese
We present VUNet, a novel view(VU) synthesis method for mobile robots in dynamic environments, and its application to the estimation of future traversability.