Sequential Intelligence Lab (SIL) is a UVA-based group focusing on theory and applications of RL directed by Prof. Shangtong Zhang. Check out some of the most exciting works from SIL!
- Almost Sure Convergence Rates and Concentration of Stochastic Approximation and Reinforcement Learning with Markovian Noise
- The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise
- Transformers Learn Temporal Difference Methods for In-Context Reinforcement Learning
