Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars.
Axel BrunnbauerLuigi BerducciAndreas BrandstätterMathias LechnerRamin M. HasaniDaniela RusRadu GrosuPublished in: CoRR (2021)
Keyphrases
- model free
- reinforcement learning
- reinforcement learning algorithms
- function approximation
- temporal difference
- policy iteration
- state space
- learning capabilities
- autonomous learning
- learning algorithm
- markov decision processes
- robotic systems
- temporal difference learning
- average reward
- machine learning
- rl algorithms
- neural network
- transfer learning
- text classification
- pattern recognition
- partially observable
- multi agent
- decision trees
- genetic algorithm