Temporally-extended actions have been widely used in both learning and planning to improve scalability and reduce complexity.

A matching process on a two-sided market can determine who gets which job [40, 31], school place[44],orspouse.

Temporal abstractions in the form of options have been shown to help reinforcement learning (RL) agents learn faster.

Leaders at Mira Murati's startup believe Barret Zoph engaged in an incident of "serious misconduct." The details are now coming to light. Leaders at Mira Murati's Thinking Machines Lab confronted the startup's cofounder and former CTO, Barret Zoph, over an alleged relationship with another employee last summer, WIRED has learned. That relationship was likely the alleged "misconduct" that has been mentioned in prior reporting, including by WIRED . To protect the privacy of the individuals involved, WIRED is not naming the employee in question.

We present the problem of reinforcement learning with exogenous termination. We define the Termination Markov Decision Process (TerMDP), an extension of the MDP framework, in which episodes may be interrupted by an external non-Markovian observer.