Ziming He

MJPR: Multi-Modal Joint Predictive Representation in Deep Reinforcement Learning

Multi-modal reinforcement learning (RL) has been brought into focus due to its ability to provide complementary information from different sensors, enriching observations of agents. However, the introduction of multi-modal highdimensional observations brings challenges to sample efficiency. There is