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08/08/2023
Actor-Critic with variable time discretization via sustained actions
Reinforcement learning (RL) methods work in discrete time. In order to a...
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07/31/2023
Detecting Out-of-distribution Objects Using Neuron Activation Patterns
Object detection is essential to many perception algorithms used in mode...
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11/25/2022
Combating noisy labels in object detection datasets
The quality of training datasets for deep neural networks is a key facto...
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11/11/2022
Emergency action termination for immediate reaction in hierarchical reinforcement learning
Hierarchical decomposition of control is unavoidable in large dynamical ...
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04/08/2021
ACERAC: Efficient reinforcement learning in fine time discretization
We propose a framework for reinforcement learning (RL) in fine time disc...
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09/10/2020
