Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning.
Alex Christopher StuttsDanilo ErricoloTheja TulabandhulaAmit Ranjan TrivediPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- belief functions
- dempster shafer
- partial observability
- tutoring system
- function approximation
- optimal policy
- expected utility
- reinforcement learning algorithms
- uncertain data
- state space
- sequential decision problems
- multi view
- markov decision process
- temporal difference learning
- machine learning
- multi agent reinforcement learning
- stereo camera
- dynamic programming
- decision theory
- model free
- action selection
- decision theoretic
- possibility theory
- planning problems
- incomplete information
- stochastic approximation
- supervised learning
- bayesian networks
- neural network