Title
Ada-QPacknet -- adaptive pruning with bit width reduction as an efficient continual learning method without forgetting Marcin Pietroñ Dominik Zurek Kamil Faber Roberto Corizzo CLL 32 2 0 14 Aug 2023
A Definition of Continual Reinforcement Learning David Abel André Barreto Benjamin Van Roy Doina Precup H. V. Hasselt Satinder Singh CLL 20 73 0 20 Jul 2023
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Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence Erik C. Johnson Brian S. Robinson Gautam K. Vallabha Justin Joyce Jordan K. Matelsky ... Matthew J. Roos I-J. Wang Brock Andrew Wester William R. Gray Roncal J. Hoffmann 34 1 0 26 May 2023
Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks Saptarshi Nath Christos Peridis Eseoghene Ben-Iwhiwhu Xinran Liu Shirin Dora Cong Liu Soheil Kolouri Andrea Soltoggio CLL 22 7 0 18 May 2023
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning Kamil Faber Dominik Zurek Marcin Pietroñ Nathalie Japkowicz Antonio Vergari Roberto Corizzo CLL 18 8 0 16 Mar 2023
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights Kamil Faber Roberto Corizzo B. Sniezynski Nathalie Japkowicz 29 9 0 14 Mar 2023
The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning Andrea Soltoggio Eseoghene Ben-Iwhiwhu Christos Peridis Pawel Ladosz Jeffery Dick Praveen K. Pilly Soheil Kolouri OffRL 32 3 0 21 Jan 2023
Lifelong Reinforcement Learning with Modulating Masks Eseoghene Ben-Iwhiwhu Saptarshi Nath Praveen K. Pilly Soheil Kolouri Andrea Soltoggio CLL OffRL 32 20 0 21 Dec 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 90 178 0 16 May 2022
Is Class-Incremental Enough for Continual Learning? Andrea Cossu G. Graffieti Lorenzo Pellegrini Davide Maltoni D. Bacciu Antonio Carta Vincenzo Lomonaco CLL 40 30 0 06 Dec 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 238 89 0 27 Sep 2021
Safer Reinforcement Learning through Transferable Instinct Networks Djordje Grbic S. Risi OffRL OnRL 26 4 0 14 Jul 2021
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 146 457 0 10 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 231 4,469 0 23 Jan 2020