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| Reinforcement Learning with Adaptive Representation Learning |
| Keywords | Reinforcement Learning, Representation Learning, Deep Learning + |
|---|---|
| Level | Master + |
| OneLineSummary | This project targets finding representations that make the reinforcement learning more efficient in terms of finding an easier state to action mapping. + |
| References | IS A GOOD REPRESENTATION SUFFICIENT FOR SA … IS A GOOD REPRESENTATION SUFFICIENT FOR SAMPLE EFFICIENT REINFORCEMENT LEARNING?, Simon S. Du, Sham M. Kakade, 2020 Learning State Representations for Query Optimization with Deep Reinforcement Learning, Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke, S. Sathiya Keerthi, 2018 State Representation Learning for Control: An Overview, Timothée Lesort, Natalia Díaz-Rodríguez, Jean-François Goudou, and David Filliat, 2018n-François Goudou, and David Filliat, 2018 |
| StudentProjectStatus | Open + |
| Supervisors | Alexander Galozy + , Peyman Mashhadi + |
| Title | Reinforcement Learning with Adaptive Representation Learning + |
| Categories | StudentProject + |
| Modification dateThis property is a special property in this wiki. | 5 October 2020 13:38:39 + |
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