UVA RL Meetup

The Reinforcement Learning Meetup @ University of Virginia

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
Feb 7
Feb 14
Feb 21
Feb 28 (AAAI)
Mar 7
Mar 14 (Spring Break)
Mar 21
Mar 28
Apr 4
Apr 11
Apr 18
Apr 25 (ICLR)

Fall 2024

Date	Presenter	Paper
Sep 27	Shangtong Zhang	The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning
Oct 11	Chen-Yu Wei	Equivalence Between Policy Gradients and Soft Q-Learning
Oct 25	Shuze Liu	Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Nov 8	Ethan Blaser	Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining
Nov 22	Haolin Liu	Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Χ2-Preference Optimization
Dec 6	Jiuqi Wang	Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Denoising Diffusion Probabilistic Models Understanding Diffusion Models: A Unified Perspective