Don't Forget the Critic: Value-Based Data Rehearsal for Multi-Cyclic Continual Reinforcement Lear...
Benjamin Poole, Andrew Quinn, Li Yang, Minwoo Lee
Action editor: Michele Caprio

Don't Forget the Critic: Value-Based Data Rehearsal for Multi-Cyclic Continual Reinforcement Lear...
Benjamin Poole, Andrew Quinn, Li Yang, Minwoo Lee
Action editor: Michele Caprio
New #TMLR-Paper-with-Video:
Unlocking [CLS] Features for Continual Post-Training
Murat Onur Yildirim, Elif Ceren Gok Yildirim, Joaquin Vanschoren
Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions
Sarthak Kumar Maharana, Shambhavi Mishra, Yunbei Zhang et al.
Action editor: Ikko Yamane
Learning as Homeostasis: Beyond the Optimization Paradigm in Machine Intelligence
Zaryab Rahman, Mattia Ottoborgo
Action editor: Pablo Castro
Federated Class-Incremental Learning with Hierarchical Generative Prototypes
Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Mattia Verasani, Simone Calderara
Action editor: Rafael Pinot
On-the-go Forgetting without Explicit Unlearning via ERASE
Kushal Chakrabarti, Mayank Baranwal
Action editor: Soma Biswas