Diana Borsa

Publications by Year

Research Areas

Reinforcement Learning in Robotics, Evolutionary Algorithms and Applications, Auction Theory and Applications, Machine Learning and Algorithms, Adaptive Dynamic Programming Control

Most-Cited Works

• → Fast reinforcement learning with generalized policy updates(2020)80 cited
• → Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement(2019)57 cited
• → Ray Interference: a Source of Plateaus in Deep Reinforcement Learning(2019)39 cited
• → The Option Keyboard: Combining Skills in Reinforcement Learning(2019)38 cited
• → Transfer in Deep Reinforcement Learning Using Successor Features and\n Generalised Policy Improvement(2019)38 cited
• → Observational Learning by Reinforcement Learning(2017)26 cited
• Training deep neural nets to aggregate crowdsourced responses(2016)
• → Universal Successor Features Approximators(2018)24 cited
• → The Termination Critic(2019)19 cited
• → Learning Shared Representations in Multi-task Reinforcement Learning(2016)13 cited