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:
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction
Masashi Okada, Tadahiro Taniguchi
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 985-991
Open Access | Times Cited: 9
Masashi Okada, Tadahiro Taniguchi
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 985-991
Open Access | Times Cited: 9
Showing 9 citing articles:
World models and predictive coding for cognitive and developmental robotics: frontiers and challenges
Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, et al.
Advanced Robotics (2023) Vol. 37, Iss. 13, pp. 780-806
Open Access | Times Cited: 35
Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, et al.
Advanced Robotics (2023) Vol. 37, Iss. 13, pp. 780-806
Open Access | Times Cited: 35
Reinforcement Learning in Process Industries: Review and Perspective
Oguzhan Dogru, Junyao Xie, Om Prakash, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 2, pp. 283-300
Closed Access | Times Cited: 4
Oguzhan Dogru, Junyao Xie, Om Prakash, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 2, pp. 283-300
Closed Access | Times Cited: 4
Autonomous Navigation System in Pedestrian Scenarios Using a Dreamer-Based Motion Planner
Wei Zhu, Mitsuhiro Hayashibe
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 6, pp. 3836-3843
Open Access | Times Cited: 6
Wei Zhu, Mitsuhiro Hayashibe
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 6, pp. 3836-3843
Open Access | Times Cited: 6
Tactile-Sensitive NewtonianVAE for High-Accuracy Industrial Connector Insertion
Ryo Okumura, Nobuki Nishio, Tadahiro Taniguchi
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022)
Open Access | Times Cited: 8
Ryo Okumura, Nobuki Nishio, Tadahiro Taniguchi
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022)
Open Access | Times Cited: 8
Task Success Classification with Final State of Future Prediction for Robot Control Planning
Taku Fujitomi, Naoya Sogi, Takashi Shibata, et al.
Lecture notes in computer science (2024), pp. 224-239
Closed Access
Taku Fujitomi, Naoya Sogi, Takashi Shibata, et al.
Lecture notes in computer science (2024), pp. 224-239
Closed Access
Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination
Lu Wen, Eric Tseng, Huei Peng, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 11, pp. 9701-9708
Open Access
Lu Wen, Eric Tseng, Huei Peng, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 11, pp. 9701-9708
Open Access
Hierarchical Latent Dynamics Model with Multiple Timescales for Learning Long-Horizon Tasks
Kentaro Fujii, Shingo Murata
(2023), pp. 479-485
Closed Access | Times Cited: 1
Kentaro Fujii, Shingo Murata
(2023), pp. 479-485
Closed Access | Times Cited: 1
Multi-view dreaming: multi-view world model with contrastive learning
Akira Kinose, Masashi Okada, Ryo Okumura, et al.
Advanced Robotics (2023) Vol. 37, Iss. 19, pp. 1212-1220
Open Access | Times Cited: 1
Akira Kinose, Masashi Okada, Ryo Okumura, et al.
Advanced Robotics (2023) Vol. 37, Iss. 19, pp. 1212-1220
Open Access | Times Cited: 1
Robot Control based on World Models and Predictive Learning
Tadahiro Taniguchi, Masashi Okada, Katsuyoshi Maeyama, et al.
Journal of the Robotics Society of Japan (2022) Vol. 40, Iss. 9, pp. 790-795
Closed Access | Times Cited: 1
Tadahiro Taniguchi, Masashi Okada, Katsuyoshi Maeyama, et al.
Journal of the Robotics Society of Japan (2022) Vol. 40, Iss. 9, pp. 790-795
Closed Access | Times Cited: 1
