David Saxton
Google (United States)(US)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Artificial Intelligence in Games, Topic Modeling, Natural Language Processing Techniques, Sports Analytics and Performance
Most-Cited Works
- Unifying count-based exploration and intrinsic motivation(2016)
- → Unsupervised Predictive Memory in a Goal-Directed Agent(2018)148 cited
- → Analysing Mathematical Reasoning Abilities of Neural Models(2019)87 cited
- → Conditional Neural Processes(2018)59 cited
- → Can Neural Networks Understand Logical Entailment?(2018)10 cited
- → Meta-Learning surrogate models for sequential decision making(2019)10 cited
- Learning objects from pixels(2018)