UVA RL Meetup
The Reinforcement Learning Meetup @ University of Virginia2-3pm Friday @ Rice Hall 204
This weekly meetup is organized by Shangtong Zhang and Chen-Yu Wei for UVA RL folks to share interesting RL papers.
Spring 2025
Date | Presenter | Paper or Topic |
---|---|---|
Feb 7 | Zixuan Xie | Analytic-DPM: An Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models Tutorial on Diffusion Models for Imaging and Vision |
Feb 14 | Xinyu Liu | Decoupled Functional Central Limit Theorems for Two-Time-Scale Stochastic Approximation |
Feb 21 | Amir Moeini | Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context |
Feb 28 (AAAI) | ||
Mar 7 | Braham Snyder | Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation |
Mar 14 (Spring Break) | ||
Mar 21 | Haolin Liu | Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF |
Mar 28 | Amin Davoodabadi (remote) |
An Information-Theoretic Perspective on Intrinsic Motivation in Reinforcement Learning |
Apr 4 | Jiuqi Wang | Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning? |
Apr 11 | Dylan Foster | |
Apr 18 | ||
Apr 25 (ICLR) |