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Reviews: A Composable Specification Language for Reinforcement Learning Tasks

Neural Information Processing SystemsJun-1-2025, 23:48:00 GMT

The specification language seems to be similar to past work, being a restricted form of temporal logic. The atomic predicates comes in two flavours: ("eventually") achieve certain state or ("always") ensuring to avoid certain states. Various composition of these atomic predicates can be used (A then B, A or B, etc.). The paper's proposed finite state machine "task monitor" bears resemblance to the FSM "reward machines" proposed by Icarte et al. [1], which was not cited/discussed. So I will be quite interested how the authours clarify its differences to the Reward Machines.

composable specification language, reinforcement learning task, spectrl, (10 more...)

Neural Information Processing Systems

Country: North America > Canada > Ontario > Toronto (0.05)

Technology: Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.43)

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