| 1 |
- Means Field Models |
+ Overview of micro-macro models for mixed traffic |
Download |
- Use of mean field equations to model the aggregate state of a traffic system actuated |
+ TBD - Presenter: Maria Laura Delle Monache, Inria, France |
| 2 |
- Deep Reinforcement Learning (RL) |
+ Instabilities and waves in microscopic and macroscopic traffic models |
Download |
- Techniques for applying scalable RL techniques to mixed-autonomy traffic |
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+ TBD - Presenter: Benjamin Seibold, Temple University |
| 3 |
- Verification of Deep Neural Networks (DNNs) |
+ Mean-field approaches to traffic regulation via AVs |
Download |
- techniques for verifying the safety properties of DNNs using algorithms for satisfiability modulo convex optimization. |
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+ TBD - Presenter: Benedetto Piccoli, Rutgers University |
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+ | 4 |
+ Model-based processes for real-time cyber-physical systems testbeds |
+ Download |
+ TBD - Presenter: Jonathan Sprinkle, University of Arizona |
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+ | 5 |
+ Experiments for control of traffic with AVs |
+ Download |
+ TBD - Presenter: Daniel B. Work, Vanderbilt University |
+
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+ | 6 |
+ Overview of deep reinforcement learning |
+ Download |
+ TBD - Presenter: Abdul Rahman Kreidieh, UC Berkeley |
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+ | 7 |
+ Flow: a framework for deep reinforcement learning in traffic microsimulations |
+ Download |
+ TBD - Presenter: Yashar Zeiynali Farid, UC Berkeley |
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+
+ | 8 |
+ Decentralized Bottleneck Control |
+ Download |
+ TBD - Presenter: Eugene Vinitsky, UC Berkeley |
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+ | 9 |
+ Hierarchical control of mixed autonomy agents |
+ Download |
+ TBD - Presenter: Abdul Rahman Kreidieh, UC Berkeley |
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+ | 10 |
+ Multi-task traffic modeling |
+ Download |
+ TBD - Presenter: Yashar Zeiynali Farid, UC Berkeley |
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+ | 11 |
+ Verification of Deep Neural Networks |
+ Download |
+ TBD - Presenter: Manfred Morari, University of Pennsylvania |
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