Model Inference and Multi-Parameter Optimization. Following REINVENT's protocol, the agent is initialized to have the same parameters as the prior and serves two purposes : ensuring the agent is also capable of generating syntactically valid linker SMILES and anchoring the sampled linkers to relevant chemical space as defined by the training data derived from ChEMBL. Subsequently, the agent is tasked to generate linkers that satisfy MPO objectives, given by the Scoring Function. The Scoring Function specifies all components to be optimized and is formulated as a weighted geometric mean in this work: