Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules.
Thanh Thi NguyenCuong M. NguyenThien Huynh-TheQuoc-Viet PhamQuoc Viet Hung NguyenImran RazzakVijay Janapa ReddiPublished in: ICCS (2) (2023)
Keyphrases
- heuristic rules
- reinforcement learning
- sequential decision making problems
- solving complex
- problems involving
- state space
- markov decision problems
- function approximation
- learning algorithm
- evolutionary strategy
- markov decision processes
- machine learning
- decision theoretic planning
- partially observable markov decision processes
- reinforcement learning algorithms
- model free
- wordnet
- optimal policy
- temporal difference
- action selection
- partially observable
- supervised learning
- optimal control
- policy iteration
- action space
- probability distribution
- evolutionary algorithm
- multi agent