10 x 10 grid-world

The '10 x 10 grid-world' is a benchmark environment formulated as a Partially Observable Markov Decision Process (POMDP) used to evaluate reinforcement learning algorithms under Metric Interval Temporal Logic (MITL) specifications.

Papers using 10 x 10 grid-world (1)

Reinforcement learning with timed constraints for robotics motion planning2026