Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability
–Neural Information Processing Systems
Goal-conditioned reinforcement learning (GCRL) refers to learning general-purpose skills that aim to reach diverse goals.
Neural Information Processing Systems
Feb-7-2026, 19:05:30 GMT
- Country:
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- England > Cambridgeshire > Cambridge (0.04)
- North America > United States
- Washington > King County > Seattle (0.04)
- Europe > United Kingdom
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