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Learning robust driving policies without online exploration


Mar 15, 2021
Daniel Graves, Nhat M. Nguyen, Kimia Hassanzadeh, Jun Jin, Jun Luo

* Accepted in ICRA 2021. Due to format limitations of ICRA, we include appendix of our detailed evaluation results in this full version. arXiv admin note: substantial text overlap with arXiv:2006.15110 

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Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems


Feb 16, 2021
Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou Ammar, Jun Wang, Matthew E. Taylor

* AAMAS 2021 

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LISPR: An Options Framework for Policy Reuse with Reinforcement Learning


Dec 29, 2020
Daniel Graves, Jun Jin, Jun Luo


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Offline Learning of Counterfactual Perception as Prediction for Real-World Robotic Reinforcement Learning


Nov 11, 2020
Jun Jin, Daniel Graves, Cameron Haigh, Jun Luo, Martin Jagersand

* submitted to ICRA 2021 

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SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving


Nov 01, 2020
Ming Zhou, Jun Luo, Julian Villella, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander Cowen Rivers, Zheng Tian, Daniel Palenicek, Haitham bou Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang

* 20 pages, 11 figures. Paper accepted to CoRL 2020 

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Affordance as general value function: A computational model


Oct 27, 2020
Daniel Graves, Johannes Günther, Jun Luo


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What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator


Oct 19, 2020
Hongyao Tang, Zhaopeng Meng, Jianye HAO, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang

* Preprint version 

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Learning predictive representations in autonomous driving to improve deep reinforcement learning


Jun 26, 2020
Daniel Graves, Nhat M. Nguyen, Kimia Hassanzadeh, Jun Jin


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Perception as prediction using general value functions in autonomous driving applications


Jan 24, 2020
Daniel Graves, Kasra Rezaee, Sean Scheideman

* 8 pages, 6 figures, IROS 2019 conference 

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Efficient decorrelation of features using Gramian in Reinforcement Learning


Nov 19, 2019
Borislav Mavrin, Daniel Graves, Alan Chan


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Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans


Nov 08, 2019
Jun Jin, Nhat M. Nguyen, Nazmus Sakib, Daniel Graves, Hengshuai Yao, Martin Jagersand


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Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning


Sep 09, 2019
Kristopher De Asis, Alan Chan, Silviu Pitis, Richard S. Sutton, Daniel Graves


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Importance Resampling for Off-policy Prediction


Jun 11, 2019
Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White


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