Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications.
Daniel S. BrownScott NiekumPublished in: AAAI (2019)
Keyphrases
- reinforcement learning algorithms
- reinforcement learning
- model free
- state space
- markov decision processes
- reinforcement learning problems
- eligibility traces
- policy search
- temporal difference
- function approximation
- learning algorithm
- reinforcement learning methods
- learning process
- learning environment
- dynamic environments
- reward function
- partially observable environments
- dynamic systems
- bayesian networks
- e learning