arXiv · 1907.10580
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL
Abstract
We propose a novel framework to identify sub-goals useful for exploration in sequential decision making tasks under partial observability. We utilize the variational intrinsic control framework (Gregor et.al., 2016) which maximizes empowerment -- the ability to reliably reach a diverse set of states and show how to identify sub-goals as states with high necessary option information through an information theoretic regularizer. Despite being discovered without explicit goal supervision, our sub-goals provide better exploration and sample complexity on challenging grid-world navigation tasks compared to supervised counterparts in prior work.
Explore related subjects
Keep this discovery
Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam. 2019-07-24. IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL. https://doi.org/10.24963/ijcai.2020/280
Cite the original work for its findings. Save a collection to share your selection of sources.