EmbodiedCLBench: Evaluating Continual Learning for Self-Evolving Embodied Agents
Continual learning requires models to accumulate past experience and transfer it to new tasks. Despite substantial research on continual learning, existing work remains largely confined to non-embodied settings, without extending to embodied environments. To address this gap, we introduce EmbodiedCLBench, the first ben...
Jie Huang, Ya-Nan Chen, Rui-Xun Liu et al.
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