Reconnaissance Blind Chess is like chess except a player cannot see her opponent's pieces in general. Rather, each player chooses a 3x3 square of the board to privately observe each turn. Algorithms used to create agents for previous games like chess, Go, and poker break down in Reconnaissance Blind Chess for several reasons including the imperfect information, absence of obvious abstractions, and lack of common knowledge. In addition to this NeurIPS competition, the game is recently part of the new Hidden Information Games Competition (HIGC) that is organized with the AAAI Reinforcement Learning in Games workshop (2022). Build the best bot for this challenge in making strong decisions in multi-agent scenarios in the face of uncertainty.