Thomy Phan, M.Sc.

Thomy Phan, M.Sc.

Lehrstuhl für Mobile und Verteilte Systeme

Ludwig-Maximilians-Universität München, Institut für Informatik

Oettingenstraße 67
80538 München

Raum G004

Telefon: +49 89 / 2180-9167

Fax: +49 89 / 2180-9148

Mail: thomy.phan@ifi.lmu.de

Research Interests

  • Artificial Intelligence
  • Automated Planning
  • Reinforcement Learning
  • Multiagent Systems
  • Adverserial Learning

Teaching

Organizing Committee

  • 1st International Symposium on Applied Artificial Intelligence (ISAAI’19)

Selected Publications

  • Thomy Phan, Thomas Gabor, Robert Müller, Christoph Roch, and Claudia Linnhoff-Popien, „Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning“, in 28th International Joint Conference on Artificial Intelligence (IJCAI ’19), 2019, pp. 5607-5613. [PDF][source]
  • Thomas Gabor, Jan Peter, Thomy Phan, Christian Meyer, and Claudia Linnhoff-Popien, „Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search“, in 28th International Joint Conference on Artificial Intelligence (IJCAI ’19), 2019, pp. 5562-5568. [PDF][source]
  • Carsten Hahn, Thomy Phan, Thomas Gabor, Lenz Belzner, and Claudia Linnhoff-Popien, „Emergent Escape-based Flocking Behavior using Multi-Agent Reinforcement Learning“, in Conference on Artificial Life (ALIFE ’19), 2019, pp. 598–605. [PDF]
  • Thomas Gabor, Andreas Sedlmeier, Marie Kiermeier, Thomy Phan, Marcel Henrich, Monika Picklmair, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner Schmid, and Jan Wieghardt, „Scenario Co-Evolution for Reinforcement Learning on a GridWorld Smart Factory Domain“, in 28th Genetic and Evolutionary Computation Conference (GECCO ’19), 2019, pp. 898-906. [PDF]
  • Thomy Phan, Kyrill Schmid, Lenz Belzner, Thomas Gabor, Sebastian Feld, and Claudia Linnhoff-Popien, „Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies“, as Extended Abstract in 18th Conference on Autonomous Agents and Multiagent Systems (AAMAS ’19), 2019, pp. 2162-2164. [PDF][preprint]
  • Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid, and Claudia Linnhoff-Popien, „Memory Bounded Open-Loop Planning in Large POMDPs using Thompson Sampling“, in 33rd AAAI Conference on Artificial Intelligence (AAAI ’19), 2019, pp. 7941-7948. [PDF][source]
  • Kyrill Schmid, Lenz Belzner, Thomas Gabor, and Thomy Phan, „Action Markets in Deep Multi-Agent Reinforcement Learning“, in 27th International Conference on Artificial Neural Networks (ICANN ’18), 2018, pp. 240-249. [PDF]
  • Thomy Phan, Lenz Belzner, Thomas Gabor, and Kyrill Schmid, „Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation“, in 17th Conference on Autonomous Agents and Multiagent Systems (AAMAS ’18), 2018, pp. 730-738. [PDF]
  • Fang Huang*, George Sirinakis*, Edward S. Allgeyer, Lena K. Schroeder, Whitney C. Duim, Emil B. Kromann, Thomy Phan, Felix E. Rivera-Molina, Jordan R. Myers, Irnov Irnov, Mark Lessard, Yongdeng Zhang, Mary Ann Handel, Christine Jacobs-Wagner, C. Patrick Lusk, James E. Rothman, Derek Toomre, Martin J. Booth, Joerg Bewersdorf, „Ultra-High Resolution 3D Imaging of Whole Cells“, in Cell 166, 2016, pp. 1028-1040. *equal authorship [PDF]

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