Daniel Graves
Orcid: 0000-0002-5345-6584
According to our database1,
Daniel Graves
authored at least 26 papers
between 2007 and 2022.
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Bibliography
2022
Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
2020
Offline Learning of Counterfactual Perception as Prediction for Real-World Robotic Reinforcement Learning.
CoRR, 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving.
CoRR, 2020
What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator.
CoRR, 2020
Learning predictive representations in autonomous driving to improve deep reinforcement learning.
CoRR, 2020
Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving.
Proceedings of the 4th Conference on Robot Learning, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
CoRR, 2019
Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on Titan supercomputer.
Concurr. Comput. Pract. Exp., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Perception as prediction using general value functions in autonomous driving applications.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Sequence Learning for Images Recognition in Videos with Differential Neural Networks.
Proceedings of the 18th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2019
2018
A Survey and Formal Analyses on Sequence Learning Methodologies and Deep Neural Networks.
Proceedings of the 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2018
2014
A Clustering-Based Graph Laplacian Framework for Value Function Approximation in Reinforcement Learning.
IEEE Trans. Cybern., 2014
2012
Pattern Recognit., 2012
2010
Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study.
Fuzzy Sets Syst., 2010
Proximity fuzzy clustering and its application to time series clustering and prediction.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
2009
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
2007
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007