4 citations · 4 across the 2 of their papers we have counts for
3 papers
Optimal Planning in a Dynamic World
Devin Wild Thomas, Solomon Eyal Shimony, Wheeler Ruml +3
Background: We address the problem of planning when the set of feasible states or actions changes over time. For example, in the problem of path planning among moving obstacles (so…
Precomputing Multi-Agent Path Replanning Using Temporal Flexibility
Issa Hanou, Eric Kemmeren, Devin Wild Thomas +1
Executing a multi-agent plan can be challenging when an agent is delayed, because this typically creates conflicts with other agents. So, we need to quickly find a new safe plan. R…
Explainable Reinforcement Learning for Formula One Race Strategy
Devin Thomas, Junqi Jiang, Avinash Kori +6
In Formula One, teams compete to develop their cars and achieve the highest possible finishing position in each race. During a race, however, teams are unable to alter the car, so…