Proactive Load-Shaping Strategies with Privacy-Cost Trade-offs in Residential Households based on Deep Reinforcement Learning.
Ruichang ZhangYoucheng SunMustafa A. MustafaPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- trade off
- reward shaping
- function approximation
- real estate
- privacy preserving
- temporal difference
- reinforcement learning algorithms
- cost effectiveness
- personal information
- cost sensitive
- markov decision processes
- state space
- multi agent
- total cost
- private data
- privacy preserving data mining
- learning agents
- multi agent reinforcement learning
- exploration strategy
- personal data
- minimum cost
- action selection
- model free
- privacy protection
- security issues
- private information
- data mining
- communication cost
- load balancing
- energy consumption
- optimal policy
- learning algorithm