Adaptive reinforcement learning-based control using proximal policy optimization and slime mould algorithm with experimental tower crane system validation.
Iuliu Alexandru ZamfiracheRadu-Emil PrecupEmil M. PetriuPublished in: Appl. Soft Comput. (2024)
Keyphrases
- optimization algorithm
- reinforcement learning
- learning algorithm
- dynamic programming
- control policy
- optimization model
- detection algorithm
- combinatorial optimization
- optimization method
- control problems
- probabilistic model
- optimization process
- computational complexity
- action selection
- model free
- long run
- optimal control
- recognition algorithm
- control strategy
- neural network
- expectation maximization
- worst case
- cost function
- control system
- objective function
- mathematical model
- segmentation algorithm
- simulated annealing
- control strategies
- k means
- preprocessing