CR-SMDP
An extension of the semi-Markov decision process (SMDP) that divides the state space into persistent states (experimental results, code, and other artifacts saved in a workspace) and transient states (within-session context). It models multi-agent alternating collaboration scenarios through inter-session context resets.
Timeline (last 90 days)
Researchers model alternating agent sessions as a Context-Reset Semi-Markov Decision Process (CR-SMDP), where the context is reset after each session ends but the work artifacts are retained in a shared workspace.
The research team established sufficient conditions for an alternating policy to surpass the single-agent reference upper bound based on CR-SMDP, and derived the experimental budget boundary.
All Facts (2)
Researchers model alternating agent sessions as a Context-Reset Semi-Markov Decision Process (CR-SMDP), where the context is reset after each session ends but the work artifacts are retained in a shared workspace.
50%UnverifiedThe research team established sufficient conditions for an alternating policy to surpass the single-agent reference upper bound based on CR-SMDP, and derived the experimental budget boundary.
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