Safe Exploration for Constrained Reinforcement Learning with Provable Guarantees.
Archana BuraAria HasanzadeZonuzyDileep M. KalathilSrinivas ShakkottaiJean-François ChamberlandPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- active exploration
- exploration strategy
- action selection
- model based reinforcement learning
- exploration exploitation
- state space
- function approximation
- markov decision processes
- autonomous learning
- approximation guarantees
- exploration exploitation tradeoff
- reinforcement learning algorithms
- temporal difference
- learning problems
- transfer learning
- visualization tool
- dynamic programming
- constrained problems
- special case
- search space
- learning environment
- e learning
- machine learning
- balancing exploration and exploitation
- neural network