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cs.AI2026
RL Post-Training Diffusion Language Models Along Their Own Generation Paths
Vaibhav Singh, Eugene Belilovsky
Diffusion language models are a promising and more efficient alternative to autoregressive models. However, most RL post-training techniques are not easily adapted to these models.…
cs.AI2023★ 2 cited
Imitation from Observation With Bootstrapped Contrastive Learning
Medric Sonwa, Johanna Hansen, Eugene Belilovsky
Imitation from observation (IfO) is a learning paradigm that consists of training autonomous agents in a Markov Decision Process (MDP) by observing expert demonstrations without ac…