Persistent rule-based interactive reinforcement learning

Author:

Bignold Adam,Cruz FranciscoORCID,Dazeley Richard,Vamplew Peter,Foale Cameron

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference46 articles.

1. Arzate C, Igarashi T (2020) A survey on interactive reinforcement learning: design principles and open challenges. In: Proceedings of the 2020 ACM designing interactive systems conference. pp 1195–1209

2. Lin J, Ma Z, Gomez R, Nakamura K, He B, Li G (2020) A review on interactive reinforcement learning from human social feedback. IEEE Access 8:120757–120765

3. Bignold A, Cruz F, Dazeley R, Vamplew P, Foale C (2020) Human engagement providing evaluative and informative advice for interactive reinforcement learning arXiv preprint arXiv:2009.09575

4. Knox WB, Stone P (2009) Interactively shaping agents via human reinforcement: The TAMER framework. In: Proceedings of the fifth international conference on knowledge capture, pp. 9–16, ACM

5. Bignold A, Cruz F, Taylor ME, Brys T, Dazeley R, Vamplew P, Foale C (2020) A conceptual framework for externally-influenced agents: an assisted reinforcement learning review, arXiv preprint arXiv:2007.01544

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