State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning With Rewards.
Miguel Calvo-FullanaSantiago PaternainLuiz F. O. ChamonAlejandro RibeiroPublished in: IEEE Trans. Autom. Control. (2024)
Keyphrases
- reinforcement learning
- state space
- learning algorithm
- learning process
- learning problems
- eligibility traces
- supervised learning
- hidden state
- function approximation
- state action
- model free
- reinforcement learning methods
- learned knowledge
- function approximators
- machine learning
- learning tasks
- markov decision processes
- dynamic programming
- robot control
- learning capabilities
- online learning
- multiagent learning
- evolutionary learning
- agent learns
- active exploration