Useful Policy Invariant Shaping from Arbitrary Advice. - Paniz Behboudian; Yash Satsangi; Matthew E. Taylor; Anna Harutyunyan; Michael Bowling (CoRR, 2020)

Policy invariant explicit shaping: an efficient alternative to reward shaping. - Paniz Behboudian; Yash Satsangi; Matthew E. Taylor; Anna Harutyunyan; Michael Bowling (Neural Comput. Appl., 2022)

Bandit-Based Policy Invariant Explicit Shaping for Incorporating External Advice in Reinforcement Learning. - Yash Satsangi; Paniz Behboudian (CoRR, 2023)