arXiv Computer Vision
Data-Free Continual Learning for World Action Model with Rectified Generative Replay
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Dream to Remember: Continual Steering of Generalist Robot Policies with World Models
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arXiv Machine Learning
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Rethinking Transfer in Continual Learning: A Replay-Based Realisation
arXiv:2607. 15587v1 Announce Type: new Abstract: Continual learning studies how deployed language models can continually acquire new tasks without expensive retraining from scratch.
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The World Model Remembers, the Actor Forgets: Dream Rehearsal for Continual Model-Based RL
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arXiv Machine Learning
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RL Forgets! Towards Continual Policy Optimization
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arXiv AI
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ARROW: Augmented Replay for RObust World models
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