Ricci Planner: Zero-Shot Transfer for Goal-Conditioned Reinforcement Learning via Geometric Flow
The long-horizon problem has been a persistent challenge in the field of reinforcement learning, leading to the exploration of various solutions. Planning methods have emerged as a prominent approach, generating intermediate plans from the current state to the goal state. However, these methods ofte...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10418917/ |