Areas of Interest: Reinforcement Learning (Model-free and Model-based), Planning.
Venue: Wednesday, 6-7 pm, SIT 113 |
Date | Presenter | Paper | TL;DR |
---|---|---|---|
18-07-2022 | Vishal | Hindsight Experience Replay | Dealing with sparse rewards; Goal-conditioned RL |
25-07-2022 | Daman | Pretraining Representations for Data-Efficient Reinforcement Learning | Improving data efficiency of RL algos using offline data |
01-08-2022 | Prayushi | Rainbow: Combining Improvements in Deep Reinforcement Learning | Off-Policy value-based RL |
08-08-2022 | Namas | Policy Gradient Methods Basic | Policy Gradient Methods |
12-08-2022 | - | General Problem Discussion | RL |
17-08-2022 | Namas | Policy Gradients Methods | Policy Gradient Methods |
31-08-2022 | Aniket + Prayushi | MONet: Unsupervised Scene Decomposition and Representation | Unsupervised Object Discovery |
25-07-2022 | Daman | Denoising Diffusion Probabilistic Models | Basics of Diffusion Models |