Adapting strategies to dynamic environments in controllable stackelberg security games

Mathematics

• Dynamic Environment 100%
• Reinforcement Learning 57%
• Game 51%
• Strategy 44%
• Architecture 42%
• Stackelberg Game 20%
• Actors 17%
• Resource Allocation 16%
• Computing 15%
• Prior Knowledge 15%
• Game Theory 14%
• Difference Method 14%
• Reward 14%
• Resources 11%
• Equilibrium Point 11%
• Learning 11%
• Target 10%
• State Space 10%
• Markov chain 10%
• Discrete-time 10%
• Calculate 9%
• Metric 8%
• Model 8%
• Framework 7%
• Class 3%

Business & Economics

• Stackelberg 72%
• Dynamic Environment 68%
• Reinforcement Learning 48%
• Dynamic Strategy 17%
• Prior Knowledge 16%
• Equilibrium Point 15%
• Behavioral Model 15%
• Stackelberg Game 14%
• State Space 13%
• Markov Chain 13%
• Discrete-time 12%
• Game Theory 11%
• Resource Allocation 11%
• Reward 9%
• Attack 9%
• Resources 5%

Engineering & Materials Science

• Reinforcement learning 63%
• Game theory 23%
• Markov chains 20%
• Resource allocation 17%