2024
Diffusion Spectral Representation for Reinforcement Learning
NeurIPS 2024poster
Diffusion-based models have achieved notable empirical successes in reinforcement learning (RL) due to their expressiveness in modeling complex distributions. Despite existing methods being promising, the key challenge of extending existing methods for broader real-world applications lies in the com…