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Panteha Naderian

2 accepted papers

2022

Bayesian Nonparametrics for Offline Skill Discovery

ICML 2022spotlight

Skills or low-level policies in reinforcement learning are temporally extended actions that can speed up learning and enable complex behaviours. Recent work in offline reinforcement learning and imitation learning has proposed several techniques for skill discovery from a set of expert trajectories.…

2021

C-Learning: Horizon-Aware Cumulative Accessibility Estimation

ICLR 2021poster

Multi-goal reaching is an important problem in reinforcement learning needed to achieve algorithmic generalization. Despite recent advances in this field, current algorithms suffer from three major challenges: high sample complexity, learning only a single way of reaching the goals, and difficultie…