High-confidence error estimates for learned value functions. - Touqir Sajed; Wesley Chung; Martha White (UAI, 2018)

Two-Timescale Networks for Nonlinear Value Function Approximation. - Wesley Chung; Somjit Nath; Ajin Joseph 001; Martha White (ICLR (Poster), 2019)

Importance Resampling for Off-policy Prediction. - Matthew Schlegel; Wesley Chung; Daniel Graves; Jian Qian; Martha White (NeurIPS, 2019)

Incrementally Learning Functions of the Return. - Brendan Bennett; Wesley Chung; Muhammad Zaheer; Vincent Liu (CoRR, 2019)

Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization. - Wesley Chung; Valentin Thomas; Marlos C. Machado; Nicolas Le Roux (ICML, 2021)

The Role of Baselines in Policy Gradient Optimization. - Jincheng Mei; Wesley Chung; Valentin Thomas; Bo Dai 001; Csaba Szepesvári; Dale Schuurmans (NeurIPS, 2022)

Parseval Regularization for Continual Reinforcement Learning. - Wesley Chung; Lynn Cherif; Doina Precup; David Meger (NeurIPS, 2024)

Preserving Plasticity in Continual Learning with Adaptive Linearity Injection. - Seyed Roozbeh Razavi Rohani; Khashayar Khajavi; Wesley Chung; Mo Chen; Sharan Vaswani (CoRR, 2025)