Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning.
Sheng XuGuiliang LiuPublished in: ICLR (2024)
Keyphrases
- reinforcement learning
- reasoning under uncertainty
- inference process
- hard constraints
- constrained problems
- partial observability
- function approximation
- bayesian networks
- dynamic programming
- state space
- probabilistic inference
- temporal difference
- inference mechanism
- machine learning
- efficient inference algorithms
- policy search
- constraint violations
- learning process
- multi agent
- learning algorithm
- soft constraints
- markov decision process
- linear constraints
- reinforcement learning algorithms
- decision theory
- probabilistic reasoning
- uncertain data
- constraint satisfaction problems