Activities per year
Abstract
We extend the study of congestion problems to a more realistic scenario, the Road Network Domain (RND), where the resources are no longer independent, but rather part of a network, thus choosing one path will also impact the load of another one having common road segments. We demonstrate the application of state-of-the-art multi-agent reinforcement learning methods for this new congestion model and analyse their performance. RND allows us to highlight an important limitation of resource abstraction and show that the difference rewards approach manages to better capture and inform the agents about the dynamics of the environment.
Original language | English |
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Title of host publication | 16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017 |
Editors | Edmund Durfee, Michael Winikoff, Kate Larson, Sanmay Das |
Pages | 1705-1707 |
Number of pages | 3 |
Volume | 3 |
ISBN (Electronic) | 9781510855076 |
Publication status | Published - 8 May 2017 |
Event | 16th International Conference on Autonomous Agents and Multiagent Systems: AAMAS 2017 - WTC Sao Paulo, Sao Paolo, Brazil Duration: 8 May 2017 → 12 May 2017 http://www.aamas2017.org |
Conference
Conference | 16th International Conference on Autonomous Agents and Multiagent Systems |
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Abbreviated title | AAMAS 2017 |
Country/Territory | Brazil |
City | Sao Paolo |
Period | 8/05/17 → 12/05/17 |
Internet address |
Keywords
- Congestion problems
- Multi-agent reinforcement learning
- Resource abstraction
Fingerprint
Dive into the research topics of 'Analysing Congestion Problems in Multi-agent Reinforcement Learning'. Together they form a unique fingerprint.Activities
- 1 Participation in conference
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16th International Conference on Autonomous Agents and Multiagent Systems
Roxana-Teodora Radulescu (Participant)
8 May 2017 → 12 May 2017Activity: Participating in or organising an event › Participation in conference