LAMDA RL LAB is a subgroup of LAMDA that focuses on advancing the field of reinforcement learning (RL) and its application to creating general decision-making intelligence. Key areas we are exploring include: model-based RL and world model learning, multi-agent and collaborative RL, planning and learning with large models, etc. Through both fundamental and application research, our aim is to create RL-based systems that exhibit general decision-making capabilities.