45 citations · 145 across the 15 of their papers we have counts for
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cs.AI2017★ 12 cited
Autonomous Extracting a Hierarchical Structure of Tasks in Reinforcement Learning and Multi-task Reinforcement Learning
Behzad Ghazanfari, Matthew E. Taylor
Reinforcement learning (RL), while often powerful, can suffer from slow learning speeds, particularly in high dimensional spaces. The autonomous decomposition of tasks and use of h…
cs.AI2017★ 45 cited
Learning to Teach Reinforcement Learning Agents
Anestis Fachantidis, Matthew E. Taylor, Ioannis Vlahavas
In this article we study the transfer learning model of action advice under a budget. We focus on reinforcement learning teachers providing action advice to heterogeneous students…