Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning

Author:

Pathmanathan PankayarajORCID,Díaz-Rodríguez Natalia,Del Ser Javier

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Reference55 articles.

1. Parisi GI, Kemker R, Part JL, Kanan C, Wermter S. Continual lifelong learning with neural networks: a review. CoRR. 2018;abs/1802.07569. arXiv:1802.07569.

2. Lesort T, Lomonaco V, Stoian A, Maltoni D, Filliat D, Díaz-Rodríguez N.: Continual learning for robotics: definition, framework, learning strategies, opportunities and challenges. arXiv:1907.00182.

3. Díaz-Rodríguez N, Lomonaco V, Filliat D, Maltoni D.: Don’t forget, there is more than forgetting: new metrics for Continual Learning. arXiv:1810.13166.

4. Sutton RS, Barto AG. Reinforcement learning: an introduction. MIT press; 2018.

5. Khetarpal K, Riemer M, Rish I, Precup D.: Towards continual reinforcement learning: a review and perspectives. arXiv:2012.13490.

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