32 citations · 43 across the 4 of their papers we have counts for
4 papers
Beyond Supervised Continual Learning: a Review
Benedikt Bagus, Alexander Gepperth, Timothée Lesort
Continual Learning (CL, sometimes also termed incremental learning) is a flavor of machine learning where the usual assumption of stationary data distribution is relaxed or omitted…
A Study of Continual Learning Methods for Q-Learning
Benedikt Bagus, Alexander Gepperth
We present an empirical study on the use of continual learning (CL) methods in a reinforcement learning (RL) scenario, which, to the best of our knowledge, has not been described b…
An Investigation of Replay-based Approaches for Continual Learning
Benedikt Bagus, Alexander Gepperth
Continual learning (CL) is a major challenge of machine learning (ML) and describes the ability to learn several tasks sequentially without catastrophic forgetting (CF). Recent wor…
Continual Learning with Fully Probabilistic Models
Benedikt Pfülb, Alexander Gepperth, Benedikt Bagus
We present an approach for continual learning (CL) that is based on fully probabilistic (or generative) models of machine learning. In contrast to, e.g., GANs that are "generative"…