Philippe Hansen
@phanseneecsResearching Deep Reinforcement Learning at BAIR, UC Berkeley
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Philippe Hansen Reposted
Building generalizable goal-conditioned agents from rich observations is a key to solving real world problems. We propose a new form of state abstraction, goal-conditioned bisimulation, that captures functional equivariance. 1/n Paper: arxiv.org/abs/2204.13060
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