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Excited to share that Agent-Controller representations for offline RL in presence of rich exogenous information is now accepted at #ICML2023 (arxiv.org/abs/2211.00164)
This is a follow-up of our recent work on latent state discovery (#TMLR'23) arxiv.org/abs/2207.08229
This is a follow-up of our recent work on latent state discovery (#TMLR'23) arxiv.org/abs/2207.08229
arxiv.org Agent-Controller Representations: Principled Offline RL with Rich... Learning to control an agent from data collected offline in a rich pixel-based visual observation space is vital for real-world applications of reinforcement learning (RL). A major challenge in... 
