Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning.

Sheng Xu Guiliang Liu

Published 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