András György
Google DeepMind (United Kingdom)(GB)Google (United Kingdom)(GB)
Publications by Year
Research Areas
Advanced Bandit Algorithms Research, Machine Learning and Algorithms, Optimization and Search Problems, Reinforcement Learning in Robotics, Sparse and Compressive Sensing Techniques
Most-Cited Works
- → Average Age of Information With Hybrid ARQ Under a Resource Constraint(2019)233 cited
- → The on-line shortest path problem under partial monitoring(2007)158 cited
- → Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection(2018)112 cited
- → Online Markov Decision Processes Under Bandit Feedback(2014)102 cited
- → Optimal entropy-constrained scalar quantization of a uniform source(2000)86 cited
- → Reinforcement Learning to Minimize Age of Information with an Energy Harvesting Sensor with HARQ and Sensing Cost(2019)78 cited
- → On the structure of optimal entropy-constrained scalar quantizers(2002)71 cited