An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework

arXiv:2305.01322v3 Announce Type: replace-cross
Abstract: Most exploration research on reinforcement learning (RL) has paid attention to `the way of exploration', which is `how to explore'. The other exploration research, `when to explore', has not been the main focus of RL exploration research. The issue of `when' of a monolithic exploration in the usual RL exploration behaviour binds an exploratory action to an exploitational action of an agent. Recently, a non-monolithic exploration research has emerged to examine the mode-switching exploration behaviour …

abstract agent arxiv attention autonomous cs.ai cs.lg exploration explore focus framework issue reinforcement reinforcement learning research the way type