3 citations · 4 across the 4 of their papers we have counts for
3 papers · 1 filter
Bayesian Q-learning With Imperfect Expert Demonstrations
Fengdi Che, Xiru Zhu, Doina Precup +2
Guided exploration with expert demonstrations improves data efficiency for reinforcement learning, but current algorithms often overuse expert information. We propose a novel algor…
IL-flOw: Imitation Learning from Observation using Normalizing Flows
Wei-Di Chang, Juan Camilo Gamboa Higuera, Scott Fujimoto +2
We present an algorithm for Inverse Reinforcement Learning (IRL) from expert state observations only. Our approach decouples reward modelling from policy learning, unlike state-of-…
Learning Intuitive Physics with Multimodal Generative Models
Sahand Rezaei-Shoshtari, Francois Robert Hogan, Michael Jenkin +2
Predicting the future interaction of objects when they come into contact with their environment is key for autonomous agents to take intelligent and anticipatory actions. This pape…