Tom Zahavy

Publications by Year

Research Areas

Reinforcement Learning in Robotics, Advanced Bandit Algorithms Research, Domain Adaptation and Few-Shot Learning, Adversarial Robustness in Machine Learning, Evolutionary Algorithms and Applications

Most-Cited Works

• → A Deep Hierarchical Approach to Lifelong Learning in Minecraft(2017)216 cited
• → Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning(2018)77 cited
• → Graying the black box: Understanding DQNs(2016)58 cited
• → A Self-Tuning Actor-Critic Algorithm(2020)32 cited
• → Is a Picture Worth a Thousand Words? A Deep Multi-Modal Architecture for Product Classification in E-Commerce(2018)29 cited
• → Discovering Evolution Strategies via Meta-Black-Box Optimization(2023)21 cited
• → Deep neural networks in single-shot ptychography(2020)21 cited
• Shallow Updates for Deep Reinforcement Learning(2017)