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We introduce mctreesearch4j, a Monte Carlo Tree Search (MCTS) implementation written as a standard JVM (Java Virtual Machine) library following key object oriented programming design principles. This modular and extensibile implementation of MCTS provides a powerful tool to enable the discovery of approximate solutions to complex planning problems via rapid experimentation. mctreesearch4j utilizes class inheritance and generic types to standardize custom algorithm definitions. In addition, keydoi:10.21105/joss.03804 fatcat:4py4kcnxrrhwzbej3nswupvyea