Todd Hester

Publications by Year

Research Areas

Reinforcement Learning in Robotics, Evolutionary Algorithms and Applications, Robotics and Sensor-Based Localization, Robotic Path Planning Algorithms, Robot Manipulation and Learning

Most-Cited Works

• → Deep Q-learning From Demonstrations(2018)795 cited
• → Challenges of real-world reinforcement learning: definitions, benchmarks and analysis(2021)542 cited
• → Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards(2017)509 cited
• → Safe Exploration in Continuous Action Spaces(2018)274 cited
• → Challenges of Real-World Reinforcement Learning(2019)252 cited
• → ETA Prediction with Graph Neural Networks in Google Maps(2021)199 cited
• → A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology(2010)170 cited
• → TEXPLORE: real-time sample-efficient reinforcement learning for robots(2012)104 cited
• Learning from Demonstrations for Real World Reinforcement Learning(2017)