Adam Bignold

According to our database, Adam Bignold authored at least 5 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Persistent rule-based interactive reinforcement learning.

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

Neural Comput. Appl., November, 2023

Human engagement providing evaluative and informative advice for interactive reinforcement learning.

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

Neural Comput. Appl., September, 2023

A conceptual framework for externally-influenced agents: an assisted reinforcement learning review.

Adam Bignold, Francisco Cruz, Matthew E. Taylor, Tim Brys, Richard Dazeley, Peter Vamplew, Cameron Foale

J. Ambient Intell. Humaniz. Comput., 2023

2022

Broad-persistent Advice for Interactive Reinforcement Learning Scenarios.

Francisco Cruz, Adam Bignold, Hung Son Nguyen, Richard Dazeley, Peter Vamplew

CoRR, 2022

2021

Potential-based multiobjective reinforcement learning approaches to low-impact agents for AI safety.

Peter Vamplew, Cameron Foale, Richard Dazeley, Adam Bignold

Eng. Appl. Artif. Intell., 2021