2024
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations
AAAI 2024technical
Generalization and sample efficiency have been long-standing issues concerning reinforcement learning, and thus the field of Offline Meta-Reinforcement Learning (OMRL) has gained increasing attention due to its potential of solving a wide range of problems with static and limited offline data. Exist…