Sampling-based Inverse Reinforcement Learning Algorithms with Safety Constraints.
Johannes FischerChristoph EybergMoritz WerlingMartin LauerPublished in: IROS (2021)
Keyphrases
- reinforcement learning algorithms
- reinforcement learning
- state space
- model free
- markov decision processes
- reinforcement learning problems
- reinforcement learning methods
- function approximation
- learning algorithm
- eligibility traces
- temporal difference
- neural network
- policy search
- partially observable environments
- action selection
- monte carlo
- linear combination
- dynamic environments
- linear programming
- least squares
- multi agent
- machine learning