Joseph Modayil

1. Rainbow: Combining Improvements in Deep Reinforcement Learning
   2017/10/06 by Matteo Hessel, Joseph Modayil, Hessel, Matteo +17 · 89 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
2. Deep Reinforcement Learning and the Deadly Triad
   2018/12/06 by Hado van Hasselt, van Hasselt, Hado, Yotam Doron +9 · 26 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Age of Information Optimization #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
3. Loss of Plasticity in Continual Deep Reinforcement Learning
   2023/03/13 by Zaheer Abbas, Rosie Zhao, Abbas, Zaheer +7 · 1 voice · 16 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG
4. Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017
   2017/11/22 by Matthew Botvinick, David G. T. Barrett, Botvinick, M. +35 · 2 citations
   Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI) #AI-based Problem Solving and Planning
5. The Open Ant: A Robot Platform for Reinforcement Learning Research
   2026/07/20 by Elena Sorina Lupu, Patrick Spieler, Khurram Javed +4
   #cs.RO #cs.AI #cs.SY #eess.SY