GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images

We tackle the problem of learning robotic sensorimotor control policies that can generalize to visually diverse and unseen environments. Achieving broad generalization typically requires large datasets, which are difficult to obtain for task-specific interactive processes such as reinforcement learning or learning from demonstration... (read more)

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