continual learning
- Papers
- 7
- Released code
- 2
- First seen
- Sept 2026
- Latest
- Oct 2026
7 papers in the last two months, against 0 in the two before.
Who is working on it
Apple 2
The papers
Most central to this idea first, not most recent.
- Big Techcs.AI
Shared scheduler enables realistic training of continual-learning agents
Apple · Oct 2026
- Big Techcs.AI
Shared scheduler enables realistic training and testing of continual-learning agents
Apple · Sept 2026
- AI Startupcs.NE
Evolution strategies balance adaptation and retention across changing tasks
IT University of Copenhagen, University of Pisa · Oct 2026
- Chinese Techcs.AI
Delayed recommendation feedback can guide useful evolution of agent memory
Harbin Institute of Technology, Alibaba Group · Sept 2026
- Top Universitycs.AIcode
Dropping Rather Than Rewriting Context Cuts Long-Horizon Agent Costs
Carnegie Mellon University, Bosch Center for AI · Sept 2026
- Big Techcs.AIcode
Research-guided software evolution improves fixed-model agents on two benchmarks
University of California, Santa Barbara, Microsoft · Oct 2026
- Chinese Techcs.LG
StepLearn lets agents use new knowledge immediately while requiring validation before persistent reuse.
Renmin University of China, Tencent · Sept 2026
Concepts are extracted from each paper and reused across the corpus, so this page grows on its own as the desk reads.