Adam Bignold

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 8

Top Topics

Learning Scenarios

Conceptual Framework

Reinforcement Learning

Top Venues

Neural Comput. Appl.

Eng. Appl. Artif. Intell.

J. Ambient Intell. Humaniz. Comput.

Publications

Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale
Human engagement providing evaluative and informative advice for interactive reinforcement learning. Neural Comput. Appl. 35 (25) (2023)
Adam Bignold, Francisco Cruz, Matthew E. Taylor, Tim Brys, Richard Dazeley, Peter Vamplew, Cameron Foale
A conceptual framework for externally-influenced agents: an assisted reinforcement learning review. J. Ambient Intell. Humaniz. Comput. 14 (4) (2023)
Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale
Persistent rule-based interactive reinforcement learning. Neural Comput. Appl. 35 (32) (2023)
Francisco Cruz, Adam Bignold, Hung Son Nguyen, Richard Dazeley, Peter Vamplew
Broad-persistent Advice for Interactive Reinforcement Learning Scenarios. CoRR (2022)
Peter Vamplew, Cameron Foale, Richard Dazeley, Adam Bignold
Potential-based multiobjective reinforcement learning approaches to low-impact agents for AI safety. Eng. Appl. Artif. Intell. 100 (2021)
Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale
Persistent Rule-based Interactive Reinforcement Learning. CoRR (2021)
Adam Bignold, Francisco Cruz, Matthew E. Taylor, Tim Brys, Richard Dazeley, Peter Vamplew, Cameron Foale
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review. CoRR (2020)
Adam Bignold, Francisco Cruz, Richard Dazeley, Peter Vamplew, Cameron Foale
Human Engagement Providing Evaluative and Informative Advice for Interactive Reinforcement Learning. CoRR (2020)