Basis Adaptation for Sparse Nonlinear Reinforcement Learning. - Sridhar Mahadevan; Stephen Giguere 001; Nicholas Jacek (AAAI, 2013)

Projected Natural Actor-Critic. - Philip S. Thomas; William Dabney; Stephen Giguere 001; Sridhar Mahadevan (NIPS, 2013)

Attribit: content creation with semantic attributes. - Siddhartha Chaudhuri; Evangelos Kalogerakis; Stephen Giguere 001; Thomas A. Funkhouser (UIST, 2013)

Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces. - Sridhar Mahadevan; Bo Liu 006; Philip S. Thomas; William Dabney; Stephen Giguere 001; Nicholas Jacek; Ian Gemp; Ji Liu 002 (CoRR, 2014)

A Manifold Approach to Learning Mutually Orthogonal Subspaces. - Stephen Giguere 001; Francisco Garcia; Sridhar Mahadevan (CoRR, 2017)

Offline Contextual Bandits with High Probability Fairness Guarantees. - Blossom Metevier; Stephen Giguere 001; Sarah Brockman; Ari Kobren; Yuriy Brun; Emma Brunskill; Philip S. Thomas (NeurIPS, 2019)

Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models. - Brittany Johnson; Jesse Bartola; Rico Angell; Katherine A. Keith; Sam Witty; Stephen J. Giguere; Yuriy Brun (CoRR, 2020)

Distributional Depth-Based Estimation of Object Articulation Models. - Ajinkya Jain; Stephen Giguere 001; Rudolf Lioutikov; Scott Niekum (CoRL, 2021)

SOPE: Spectrum of Off-Policy Estimators. - Christina J. Yuan; Yash Chandak; Stephen Giguere 001; Philip S. Thomas; Scott Niekum (NeurIPS, 2021)

Fairness Guarantees under Demographic Shift. - Stephen Giguere 001; Blossom Metevier; Bruno Castro da Silva; Yuriy Brun; Philip S. Thomas; Scott Niekum (ICLR, 2022)

Automated Discovery of Functional Actual Causes in Complex Environments. - Caleb Chuck; Sankaran Vaidyanathan; Stephen Giguere 001; Amy Zhang 001; David Jensen; Scott Niekum (CoRR, 2024)