Curriculum Vitae
Simone Parisi
For the complete list of publications, please see here.
| Current Position |
|---|
| 2014 - 2019 | Ph.D. Candidate in Computer Science |
| | Technische Universität Darmstadt, Germany |
| | Thesis: Reinforcement Learning with Sparse and Multiple Rewards |
| | Supervisor: Jan Peters |
| Professional Experience |
|---|
| 2017 | Research Intern |
|---|
| | RIKEN AIP, Tokyo, Japan |
| | Supervisors: Masashi Sugiyama, Emtiyaz Khan |
| Educational Background |
|---|
| 2015 | Machine Learning Summer School |
|---|
| | Max Planck Institute for Intelligent Systems, Tübingen, Germany |
| 2011 - 2014 | Master of Science in Computer Science and Engineering |
|---|
| | Politecnico di Milano, Italy |
| | Thesis: Study and Analysis of Policy Gradient Approaches for Multi-Objective Decision Problems |
| | Supervisors: Marcello Restelli, Matteo Pirotta |
| 2012 | Exchange Student |
|---|
| | University of Queensland, Brisbane, Australia |
| 2008 - 2011 | Bachelor of Science in Computer Science and Engineering |
|---|
| | Politecnico di Milano, Italy |
| Invited Talks |
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| 30 Aug 2019 | University of Texas, Learning Agents Research Group (LARG), Austin, United States |
|---|
| | Host: Peter Stone |
| 28 Aug 2019 | Brown University, Dept. of Computer Science, Providence, United States |
|---|
| | Host: Michael Littman |
| 26 Aug 2019 | Facebook Artificial Intelligence Research (FAIR), Pittsburgh, United States |
|---|
| | Host: Abhinav Gupta |
| 24 May 2019 | Max Planck Institute (MPI), Dept. of Empirical Inference, Tübingen, Germany |
|---|
| | Host: Bernhard Schölkopf |
| 6 May 2019 | Delft University of Technology, Dept. of Cognitive Robotics (CoR), Delft, Netherlands |
|---|
| | Host: Jens Kober |
| 3 May 2019 | University of Amsterdam, Machine Learning Lab (AMLab), Amsterdam, Netherlands |
|---|
| | Hosts: Herke van Hoof, Max Welling |
| 14 Dec 2017 | Advanced Telecommunications Research Institute (ATR), Kyoto, Japan |
|---|
| | Host: Jun Morimoto |
| 2 Oct 2017 | RIKEN Center for Advanced Intelligence Project (AIP), Tokyo, Japan |
|---|
| | Host: Emtiyaz Khan, Masashi Sugiyama |
| Teaching |
|---|
| 2019 | Reinforcement Learning | Teaching Assistant | Technische Universität Darmstadt |
| 2017 | Statistical Machine Learning | Teaching Assistant | Technische Universität Darmstadt |
| 2016 | Robot Learning | Teaching Assistant | Technische Universität Darmstadt |
| 2016 | Statistical Machine Learning | Teaching Assistant | Technische Universität Darmstadt |
| Reviewing |
|---|
| 2020 | International Conference on Automated Planning and Scheduling (ICAPS) |
| 2020 | International Conference on Robotics and Automation (ICRA), Workshop Proposal |
| 2019 | Workshop on Robot Learning, Conference on Neural Information Processing Systems (NIPS) |
| 2019 | International Conference on Learning Representations (ICLR) |
| 2018 | Workshop on Reinforcement Learning under Partial Observability, Conference on Neural Information Processing Systems (NIPS) |
| 2018 | Workshop on Prediction and Generative Modeling in Reinforcement Learning, Conference on Flexible Automation and Intelligent Manufacturing (FAIM) |
| 2018 | Conference on Robot Learning (CoRL) |
| 2018 | Program Committee, European Workshop on Reinforcement Learning (EWRL) |
| 2018 | Program Committee, AAAI Conference on Artificial Intelligence (AAAI) |
| 2017 | Neurocomputing |
| 2017 | International Conference on Intelligent Robots and Systems (IROS) |
| 2017 | International Conference on Robotics and Automation (ICRA) |
| 2017 | Program Committee, AAAI Conference on Artificial Intelligence (AAAI) |
| 2016 | Neurocomputing |
| 2016 | International Journal of Advanced Robotic Systems (IJARS) |
| 2016 | Journal of Machine Learning Research (JMLR) |
| 2016 | Robotics: Science and Systems (R:SS) |
| 2016 | International Joint Conference on Artificial Intelligence (IJCAI) |
| 2016 | Neurocomputing: Special Issue on Multi-objective Reinforcement Learning |
| 2015 | Program Committee, European Workshop on Reinforcement Learning (EWRL) |
| 2015 | International Conference on Intelligent Robots and Systems (IROS) |
| 2015 | International Conference on Automation Science and Engineering (CASE) |
| Supervision |
|---|
| Mentzendorff, E. (2020). Bridging the Gap Between Multi-objective and Multi-task Deep Reinforcement Learning, Master Thesis. |
| Cui, K. (2019). A Study on TD-regularized Actor-critic Methods, Master Thesis. |
| Zhang, S. (2019). Integration of Self-imitation and Model-based Learning to Actor-critic Algorithms, Master Thesis. |
| Hubecker, S. (2019). Curiosity-driven Reinforcement Learning for Autonomous Driving, Master Thesis. |
| Keller, L. (2019). Application of Reinforcement Learning Algorithms to Robotics Simulators, Bachelor Thesis. |
- Zhang, S.; Wan, L. (2018). Enhancing Exploration through Curiosity for Robotics, Integrated Project.
|
- Ramstedt, S. (2017). Bayesian Deep Reinforcement Learning: Tools and Methods, Integrated Project.
|
- Ramstedt, S. (2016). Deep Reinforcement Learning with Continuous Actions, Bachelor Thesis.
|
| Klie J. C., Li X. (2015 - 2016). Feature Selection for Tetherball Robot Games, Integrated Project. |
| Blank A., Viernickel T. (2014 - 2015). Multi-objective Reinforcement Learning for Tetherball Robot Games, Integrated Project. |
