Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications.
Daniel S. BrownScott NiekumPublished in: CoRR (2018)
Keyphrases
- reinforcement learning algorithms
- reinforcement learning
- state space
- markov decision processes
- model free
- reinforcement learning problems
- temporal difference
- learning algorithm
- eligibility traces
- learning process
- reinforcement learning methods
- reward function
- learning environment
- function approximation
- partially observable environments
- e learning
- dynamic environments
- function approximators
- policy gradient
- policy search
- optimal policy
- neural network