Assured RL: Reinforcement Learning with Almost Sure Constraints.
Agustin CastellanoJuan Andrés BazerqueEnrique MalladaPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- function approximation
- state space
- reinforcement learning algorithms
- model free
- markov decision processes
- temporal difference
- optimal policy
- learning algorithm
- constraint satisfaction
- learning process
- partially observable domains
- temporal difference learning
- control problems
- rl algorithms
- partially observable
- direct policy search
- action selection
- learning problems
- transfer learning
- dynamic programming
- multi agent
- constrained optimization
- optimal control
- action space
- autonomous learning
- state and action spaces
- machine learning