This disclosure provides methods, components, devices and systems for use of a reinforcement learning (RL) model to obtain one or more parameters associated with a channel access procedure. Some aspects more specifically relate to mechanisms according to which a wireless communication device may receive information associated with the RL model and transmit a protocol data unit (PDU) during a slot that is based on an output of the model. The wireless communication device may use the RL model to perform a distributed channel access procedure in accordance with the information and may further transmit the PDU, during the slot that is based on the output of the RL model, in accordance with the distributed channel access procedure. The information associated with the RL model may indicate or configure the RL model or may indicate whether the wireless communication is allowed to retrain the RL model.