39 citations · 60 across the 6 of their papers we have counts for
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cs.LG2022
Offline Robot Reinforcement Learning with Uncertainty-Guided Human Expert Sampling
Ashish Kumar, Ilya Kuzovkin
Recent advances in batch (offline) reinforcement learning have shown promising results in learning from available offline data and proved offline reinforcement learning to be an es…
cs.LG2019★ 8 cited
OffWorld Gym: open-access physical robotics environment for real-world reinforcement learning benchmark and research
Ashish Kumar, Toby Buckley, John B. Lanier +3
Success stories of applied machine learning can be traced back to the datasets and environments that were put forward as challenges for the community. The challenge that the commun…
cs.LG2017★ 39 cited
Combining Static and Dynamic Features for Multivariate Sequence Classification
Anna Leontjeva, Ilya Kuzovkin
Model precision in a classification task is highly dependent on the feature space that is used to train the model. Moreover, whether the features are sequential or static will dict…