OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Generalising Discrete Action Spaces with Conditional Action Trees
Christopher Bamford, Alvaro Ovalle
2021 IEEE Conference on Games (CoG) (2021), pp. 1-8
Open Access | Times Cited: 6
Christopher Bamford, Alvaro Ovalle
2021 IEEE Conference on Games (CoG) (2021), pp. 1-8
Open Access | Times Cited: 6
Showing 6 citing articles:
PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games
Martin Balla, George E.M. Long, Dominik Jeurissen, et al.
2021 IEEE Conference on Games (CoG) (2023), pp. 1-8
Open Access | Times Cited: 2
Martin Balla, George E.M. Long, Dominik Jeurissen, et al.
2021 IEEE Conference on Games (CoG) (2023), pp. 1-8
Open Access | Times Cited: 2
PyTAG: Tabletop Games for Multi-Agent Reinforcement Learning
Martin Balla, George E.M. Long, James Goodman, et al.
IEEE Transactions on Games (2024), pp. 1-10
Open Access
Martin Balla, George E.M. Long, James Goodman, et al.
IEEE Transactions on Games (2024), pp. 1-10
Open Access
A Reinforcement Learning Approach to Online Scheduling of Single-Stage Batch Chemical Production Processes
Max Mowbray, Dongda Zhang, Ehecatl Antonio del Río-Chanona
Computer-aided chemical engineering/Computer aided chemical engineering (2022), pp. 469-474
Closed Access | Times Cited: 1
Max Mowbray, Dongda Zhang, Ehecatl Antonio del Río-Chanona
Computer-aided chemical engineering/Computer aided chemical engineering (2022), pp. 469-474
Closed Access | Times Cited: 1
Action Space Reduction for Planning Domains
Harsha Kokel, Junkyu Lee, Michael B. Katz, et al.
(2023), pp. 5394-5401
Open Access
Harsha Kokel, Junkyu Lee, Michael B. Katz, et al.
(2023), pp. 5394-5401
Open Access
Incorporation of Military Doctrines and Objectives into an AI Agent Via Natural Language and Reward in Reinforcement Learning
Michael Möbius, Daniel Kallfass, Matthias Flock, et al.
2018 Winter Simulation Conference (WSC) (2023), pp. 2357-2367
Closed Access
Michael Möbius, Daniel Kallfass, Matthias Flock, et al.
2018 Winter Simulation Conference (WSC) (2023), pp. 2357-2367
Closed Access
