A Bayesian reinforcement learning approach in markov games for computing near-optimal policies

Mathematics

• Reinforcement Learning 100%
• Bayesian Learning 99%
• Optimal Policy 76%
• Game 53%
• Strategy 47%
• Policy 43%
• Computing 41%
• Adaptive Behavior 37%
• Learning Process 30%
• Exploitation 27%
• Prior Knowledge 26%
• Probability Model 25%
• Reward 25%
• Performance Measures 25%
• Transition Matrix 24%
• Nash Equilibrium 24%
• Bayes 23%
• Trade-offs 22%
• Paradigm 21%
• Well-defined 21%
• Maximise 20%
• Learning 20%
• Nonlinear Problem 19%
• Uncertainty 18%
• Markov chain 18%
• Interaction 15%
• Restriction 14%
• Model 14%
• Observation 14%
• Formulation 14%
• Framework 12%
• Estimate 10%

Engineering & Materials Science

• Reinforcement learning 66%
• Markov chains 21%
• Uncertainty 13%