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MSPR: Multi-scale Predictive Representations for Goal-conditioned Reinforcement Learning
This paper investigates robust representation learning in offline goal-conditioned reinforcement learning (GCRL). Particularly in sparse reward scenarios, learning representations that align state and goal latents is a challenge, as the encoder can learn goal-agnostic features that destabilize polic
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