Advancements in Deep Reinforcement Learning and Inverse Reinforcement Learning for Robotic Manipulation: Toward Trustworthy, Interpretable, and Explainable Artificial Intelligence.
Recep OzalpAysegül UçarCüneyt GüzelisPublished in: IEEE Access (2024)
Keyphrases
- inverse reinforcement learning
- partially observable environments
- artificial intelligence
- reinforcement learning
- reward function
- bayesian nonparametric
- temporal difference
- reinforcement learning algorithms
- preference elicitation
- function approximation
- partially observable
- machine learning
- markov decision processes
- mobile robot
- evaluation function
- case based reasoning
- state space
- markov decision process
- robotic systems
- model free
- utility function
- real robot
- learning algorithm
- fuzzy logic
- function approximators
- simple examples
- dynamic programming
- decision making