GenRL: Multimodal-foundation world models for generalization in embodied agents

Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt +2

Learning generalist embodied agents, able to solve multitudes of tasks in different domains is a long-standing problem. Reinforcement learning (RL) is hard to scale up as it requir…