From the hash-bound evidence releases
Recorded claims
Each claim states what the inspected source says, at the recorded location—bounded by its scope and graded by its confidence. Nothing here is a synthesis across works.
In a continuous-time Bertrand duopoly with two firms using Q-learning pricing algorithms, the abstract reports that asynchronous price updates generally impede algorithmic collusion, with effects depending on agent state and accessible rival-price information, and discusses pricing-regulation implications.
Scope: theoretical and numerical study of firm pricing and algorithmic collusion
Structured relationships
In-corpus citations
Only source-supplied cites relationships whose two endpoints are admitted are shown. Invocation evidence remains a separate relationship.
Cites (0)
No in-corpus outgoing citation is available in the current enrichment coverage.
Cited by (0)
No in-corpus incoming citation is available in the current enrichment coverage.
Boundaries
Limitations & independence
Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.
Recorded limitations
- Abstract-level evidence only; full text and numerical experiments were not inspected.
- The findings concern a modeled two-firm market and should not be generalized to observed pricing systems without additional evidence.
Source independence
ssrn-only