Online Markov Chain-based energy management for a hybrid tracked vehicle with speedy Q-learning

Engineering

• Convergence Rate 25%
• Driving Cycle 25%
• Dynamic Programming 25%
• Energy Demand 25%
• Energy Management 100%
• Fuel Economy 25%
• Learning Algorithm 50%
• Matrix Norm 50%
• Model Chain 25%
• Policy Control 75%
• Q-Learning 100%
• Reinforcement Learning 25%
• Road 25%
• Stochastic Dynamic 25%

Computer Science

• Convergence Rate 50%
• Induced Matrix Norm 100%
• Learning Algorithm 100%
• Markov Chain 100%
• markov chain model 50%
• Reinforcement Learning 50%
• Stochastic Dynamic Program 50%
• Time Energy Management 50%