Rock-paper-scissors × reinforcement learning (opens an external site)
Play against an agent that learns your habits, and watch the statistics update in real time.
Dependable systems, from first principles.
Fault-tolerant system theory, software reliability, and performance evaluation — the mathematics of designing for failure.
Research
See allInteractive demos
See allCart-pole balancing with reinforcement learning (opens an external site)
Watch a reinforcement-learning agent learn to keep a pole upright through trial and error.
Probabilistic geometric coverage reliability (opens an external site)
Where should sensors go to cover a region reliably? Binary decision diagrams give an exact answer, recomputed in the browser as you move sensors.
Recent publications
See all- A Fine-grained parametric bootstrap approach for NHPP-based software reliability modeling Journal of Systems and Software, 236, pp. 112789, 2026
- A Note on Software Reliability Modeling Based on Hawkes Processes with Gamma Type Base Intensity Wsse 2025 2025 the 7th World Symposium on Software Engineering, pp. 16–21, 2026
- A Probabilistic Least Squares Estimation For NHPP-based Software Reliability Models with Time-domain Data Wsse 2025 2025 the 7th World Symposium on Software Engineering, pp. 28–33, 2026
- A unified palm measure framework for failure-event-based component importance measures in nonrepairable, repairable, and phase-mission systems Probability in the Engineering and Informational Sciences, 2026
- An EM algorithm for estimating phase-type distributions with left-truncated and right-censored data Journal of Applied Probability, 2026