Quasi Newton Temporal Difference Learning. - Arash Givchi; Maziar Palhang (ACML, 2014)

Optimal Cooperative Inference. - Scott Cheng-Hsin Yang; Yue Yu; Arash Givchi; Pei Wang; Wai Keen Vong; Patrick Shafto (AISTATS, 2018)

Off-policy temporal difference learning with distribution adaptation in fast mixing chains. - Arash Givchi; Maziar Palhang (Soft Comput., 2018)

Manifold learning from a teacher's demonstrations. - Pei Wang; Arash Givchi; Patrick Shafto (CoRR, 2019)

Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport. - Arash Givchi; Pei Wang; Junqi Wang 002; Patrick Shafto (CoRR, 2021)