We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
Ahybrid automatonis a formalmodelfor a mixeddiscrete-continuous system. We classify hybrid automata acoording to what questions about their behavior can be answered algorithmically...
A method to simulate the physics of the game of pool is presented. The method is based upon a parametrization of ball motion which allows the time of occurrence of events, such as...
We discuss a procedure for synthesizing controllers for safety specifications for hybrid systems. The procedure depends on the construction of the set of states of a continuous dy...