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All SourcesarXiv
#Generalization

InfoPO: Information-Driven Policy Optimization for User-Centric Agents

Intermediate
Fanqi Kong, Jiayi Zhang et al.Feb 28arXiv

Many real-life requests to AI helpers are vague, so agents must ask good questions before acting.

#Information-driven RL#Turn-level credit assignment#Counterfactual masking

Not triaged yet

Self-Distillation Enables Continual Learning

Intermediate
Idan Shenfeld, Mehul Damani et al.Jan 27arXiv

This paper shows a simple way for AI models to keep learning new things without forgetting what they already know.

#Self-Distillation Fine-Tuning#On-Policy Distillation#Continual Learning

Not triaged yet