Daniel J. Mankowitz
Google DeepMind (United Kingdom)(GB)Google (United Kingdom)(GB)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Advanced Bandit Algorithms Research, Adversarial Robustness in Machine Learning, Machine Learning and Algorithms, Smart Grid Energy Management
Most-Cited Works
- → Challenges of real-world reinforcement learning: definitions, benchmarks and analysis(2021)542 cited
- → Challenges of Real-World Reinforcement Learning(2019)252 cited
- → Reward Constrained Policy Optimization(2018)235 cited
- → A Deep Hierarchical Approach to Lifelong Learning in Minecraft(2017)216 cited
- → Faster sorting algorithms discovered using deep reinforcement learning(2023)149 cited
- → Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning(2018)77 cited
- → Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement(2019)57 cited
- → An empirical investigation of the challenges of real-world reinforcement learning(2020)52 cited