Agents in Traffic and Transportation (ATT 2020).
- Published in:
- 2021
- By:
- Publication type:
- Editorial
Works matching IS 09217126 AND DT 2021 AND VI 34 AND IP 1
Results: 8
1
2
Accelerating route choice learning with experience sharing in a commuting scenario: An agent-based approach.
- Published in:
- AI Communications, 2021, v. 34, n. 1, p. 105, doi. 10.3233/AIC-201582
- By:
- Publication type:
- Article
3
Agriculture fleet vehicle routing: A decentralised and dynamic problem.
- Published in:
- AI Communications, 2021, v. 34, n. 1, p. 55, doi. 10.3233/AIC-201581
- By:
- Publication type:
- Article
4
Reinforcement learning vs. rule-based adaptive traffic signal control: A Fourier basis linear function approximation for traffic signal control.
- Published in:
- AI Communications, 2021, v. 34, n. 1, p. 89, doi. 10.3233/AIC-201580
- By:
- Publication type:
- Article
5
ORNInA: A decentralized, auction-based multi-agent coordination in ODT systems.
- Published in:
- AI Communications, 2021, v. 34, n. 1, p. 37, doi. 10.3233/AIC-201579
- By:
- Publication type:
- Article
6
Policy adaptation for vehicle routing.
- Published in:
- AI Communications, 2021, v. 34, n. 1, p. 21, doi. 10.3233/AIC-201577
- By:
- Publication type:
- Article
7
Safety perception and pedestrian dynamics: Experimental results towards affective agents modeling.
- Published in:
- AI Communications, 2021, v. 34, n. 1, p. 5, doi. 10.3233/AIC-201576
- By:
- Publication type:
- Article
8
Demand-responsive rebalancing zone generation for reinforcement learning-based on-demand mobility.
- Published in:
- AI Communications, 2021, v. 34, n. 1, p. 73, doi. 10.3233/AIC-201575
- By:
- Publication type:
- Article