Daniel J. Mankowitz

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