Our community focuses on the exploration and applications of Reinforcement Learning, emphasizing Simulations, Usability, Interpretability, Theory, Ethical considerations, Real-world applications, and Societal implications. We aim to deepen our understanding of RL through collective exploration, fostering belonging, mutual learning, and collaborative insights. This community is open to everyone from RL researchers and enthusiasts to beginners in the field, encouraging contributions to the evolving discourse of reinforcement learning.
Bi-Weekly meetings every Tuesday 6pm PSTOur theme in this season is foundational topics
| # | Date | Topic | Presenter | Recording | Slides |
|---|---|---|---|---|---|
| 2 | 01/16 | Q-Learning | Elizabeth Ondula | Not available | Slides |
| 3 | 01/30 | Deep Q-Learning | Elizabeth Ondula | Recording | Slides | 4 | 02/13 | DQN Implementation | Zuoning Zhang | TBA | TBA |