198 citations · 258 across the 6 of their papers we have counts for
7 papers
B2RL: An open-source Dataset for Building Batch Reinforcement Learning
Hsin-Yu Liu, Xiaohan Fu, Bharathan Balaji +2
Batch reinforcement learning (BRL) is an emerging research area in the RL community. It learns exclusively from static datasets (i.e. replay buffers) without interaction with the e…
Quick Question: Interrupting Users for Microtasks with Reinforcement Learning
Bo-Jhang Ho, Bharathan Balaji, Mehmet Koseoglu +3
Human attention is a scarce resource in modern computing. A multitude of microtasks vie for user attention to crowdsource information, perform momentary assessments, personalize se…
ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems
Bharathan Balaji, Jordan Bell-Masterson, Enes Bilgin +7
Reinforcement Learning (RL) has achieved state-of-the-art results in domains such as robotics and games. We build on this previous work by applying RL algorithms to a selection of…
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning
Bharathan Balaji, Sunil Mallya, Sahika Genc +10
DeepRacer is a platform for end-to-end experimentation with RL and can be used to systematically investigate the key challenges in developing intelligent control systems. Using the…
ACES -- Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning
Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal +1
Internet of Things forms the backbone of modern building applications. Wireless sensors are being increasingly adopted for their flexibility and reduced cost of deployment. However…
Did you hear that? Adversarial Examples Against Automatic Speech Recognition
Moustafa Alzantot, Bharathan Balaji, Mani Srivastava
Speech is a common and effective way of communication between humans, and modern consumer devices such as smartphones and home hubs are equipped with deep learning based accurate a…