Correction: Landmark based guidance for reinforcement learning agents under partial observability.
Alper DemirErkin ÇildenFaruk PolatPublished in: Int. J. Mach. Learn. Cybern. (2023)
Keyphrases
- partial observability
- reinforcement learning agents
- reinforcement learning
- dynamic environments
- belief space
- partially observable
- state abstraction
- state space
- belief state
- planning problems
- planning under partial observability
- partially observable markov decision processes
- multi agent
- multi agent environments
- transfer learning
- function approximation
- machine learning
- reinforcement learning algorithms
- model free
- learning agent
- markov decision process
- markov decision processes
- optimal policy
- multi agent systems
- partial information
- learning process
- bayesian networks