Assessment of Reward Functions for Reinforcement Learning Traffic Signal Control under Real-World Limitations. - Alvaro Cabrejas Egea; Shaun Howell; Maksis Knutins; Colm Connaughton (SMC, 2020)

Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds. - Joshua Albrecht; Abraham J. Fetterman; Bryden Fogelman; Ellie Kitanidis; Bartosz Wróblewski; Nicole Seo; Michael Rosenthal; Maksis Knutins; Zack Polizzi; James Simon; Kanjun Qiu (NeurIPS, 2022)

Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds. - Joshua Albrecht; Abraham J. Fetterman; Bryden Fogelman; Ellie Kitanidis; Bartosz Wróblewski; Nicole Seo; Michael Rosenthal; Maksis Knutins; Zachary Polizzi; James B. Simon; Kanjun Qiu (CoRR, 2022)

On the Stepwise Nature of Self-Supervised Learning. - James B. Simon; Maksis Knutins; Liu Ziyin 001; Daniel Geisz; Abraham J. Fetterman; Joshua Albrecht (ICML, 2023)

Tune As You Scale: Hyperparameter Optimization For Compute Efficient Training. - Abraham J. Fetterman; Ellie Kitanidis; Joshua Albrecht; Zachary Polizzi; Bryden Fogelman; Maksis Knutins; Bartosz Wróblewski; James B. Simon; Kanjun Qiu (CoRR, 2023)