LASER: latent space adjoint matching for support-constrained entropy-regularized offline RL
Read the original at arxiv.org→arXiv:2610.08989v1 Announce Type: new Abstract: While offline reinforcement learning (RL) enables policy optimization from static datasets without costly online interaction, it remains bottlenecked by the risk of...
Original headline: "LASER: Latent Space Adjoint Matching for Support-Constrained Entropy-Regularized Offline RL"
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- Oct 8, 04:00 UTC arXiv cs.LG lead source LASER: Latent Space Adjoint Matching for Support-Constrained Entropy-Regularized Offline RL