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Daniel Graves
Daniel Graves
Unknown affiliation
Verified email at ualberta.ca
Title
Cited by
Cited by
Year
Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study
D Graves, W Pedrycz
Fuzzy sets and systems 161 (4), 522-543, 2010
4122010
Smarts: Scalable multi-agent reinforcement learning training school for autonomous driving
M Zhou, J Luo, J Villella, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ...
arXiv preprint arXiv:2010.09776, 2020
1522020
Fuzzy prediction architecture using recurrent neural networks
D Graves, W Pedrycz
Neurocomputing 72 (7-9), 1668-1678, 2009
672009
Fuzzy c-means, gustafson-kessel fcm, and kernel-based fcm: A comparative study
D Graves, W Pedrycz
Analysis and design of intelligent systems using soft computing techniques …, 2007
552007
Mapless navigation among dynamics with social-safety-awareness: a reinforcement learning approach from 2d laser scans
J Jin, NM Nguyen, N Sakib, D Graves, H Yao, M Jagersand
2020 IEEE international conference on robotics and automation (ICRA), 6979-6985, 2020
492020
Importance resampling for off-policy prediction
M Schlegel, W Chung, D Graves, J Qian, M White
Advances in Neural Information Processing Systems 32, 2019
412019
A clustering-based graph Laplacian framework for value function approximation in reinforcement learning
X Xu, Z Huang, D Graves, W Pedrycz
IEEE Transactions on Cybernetics 44 (12), 2613-2625, 2014
402014
Diverse auto-curriculum is critical for successful real-world multiagent learning systems
Y Yang, J Luo, Y Wen, O Slumbers, D Graves, HB Ammar, J Wang, ...
arXiv preprint arXiv:2102.07659, 2021
352021
Diverse auto-curriculum is critical for successful real-world multiagent learning systems
Y Yang, J Luo, Y Wen, O Slumbers, D Graves, HB Ammar, J Wang, ...
arXiv preprint arXiv:2102.07659, 2021
352021
Performance of kernel-based fuzzy clustering
D Graves, W Pedrycz
Electronics Letters 43 (25), 1, 2007
312007
Fixed-horizon temporal difference methods for stable reinforcement learning
K De Asis, A Chan, S Pitis, R Sutton, D Graves
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3741-3748, 2020
302020
A survey and formal analyses on sequence learning methodologies and deep neural networks
Y Wang, H Leung, M Gavrilova, O Zatarain, D Graves, J Lu, N Howard, ...
2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive …, 2018
252018
Multivariate Segmentation of Time Series with Differential Evolution.
D Graves, W Pedrycz
IFSA/EUSFLAT Conf., 1108-1113, 2009
212009
Smarts: An open-source scalable multi-agent rl training school for autonomous driving
M Zhou, J Luo, J Villella, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ...
Conference on Robot Learning, 264-285, 2021
172021
What about inputting policy in value function: Policy representation and policy-extended value function approximator
H Tang, Z Meng, J Hao, C Chen, D Graves, D Li, C Yu, H Mao, W Liu, ...
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8441-8449, 2022
152022
Clustering with proximity knowledge and relational knowledge
D Graves, J Noppen, W Pedrycz
Pattern recognition 45 (7), 2633-2644, 2012
142012
Offline learning of counterfactual perception as prediction for real-world robotic reinforcement learning
J Jin, D Graves, C Haigh, J Luo, M Jagersand
arXiv preprint arXiv:2011.05857, 2020
132020
Perception as prediction using general value functions in autonomous driving applications
D Graves, K Rezaee, S Scheideman
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
132019
Sequence Learning for Images Recognition in Videos with Differential Neural Networks
Y Wang, O Zatarain, T Tsai, D Graves
2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive …, 2019
132019
Proximity fuzzy clustering and its application to time series clustering and prediction
D Graves, W Pedrycz
2010 10th International Conference on Intelligent Systems Design and …, 2010
132010
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Articles 1–20