Xingjie Zuo

Covariance Volume Maximization for Embodied Latent Exploration in Deep Reinforcement Learning

Efficient exploration remains a key challenge in deep reinforcement learning, especially for embodied agents operating in realistic environments with high-dimensional observations and complex dynamics. Recent latent exploration methods define bonuses in a learned latent space, but often struggle in …