Adaptive deep reinforcement learning for non-stationary environments

Keyphrases

• Non-stationary Environments 100%
• Deep Reinforcement Learning (deep RL) 100%
• Reinforcement Learning Algorithm 60%
• Deep Q-learning Algorithm 40%
• Performance Improvement 20%
• Probability-based 20%
• Model Uncertainty 20%
• Simulation Game 20%
• Self-adjusting 20%
• Markov Decision Process 20%
• Environment Change 20%
• Parameter Setting 20%
• Rebalance 20%
• Large Deviation Principle 20%
• Stationary Environment 20%
• Advanced Persistent Threat 20%
• Deep Q-network 20%
• Misjudgment Probability 20%
• Attack Simulation 20%

Computer Science

• Deep Reinforcement Learning 100%
• Learning Algorithm 40%
• Experimental Result 20%
• Markov Decision Process 20%
• Model Uncertainty 20%
• Process Problem 20%
• Advanced Persistent Threat 20%
• Deep Q-Network 20%

Psychology

• Learning Algorithm 100%