Papers BIRL
“BIRL” 태그가 달린 논문 10편 · 필터 해제
Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment
The alignment of large language models (LLMs) is crucial for generating helpful and harmless content. Existing approaches leverage preference-based human feedback data to learn the reward function and align the LLM with …
BIRLImitation LearningLanguage ModelingLanguage Modelling+2Bayesian Inverse Reinforcement Learning for Non-Markovian Rewards
Inverse reinforcement learning (IRL) is the problem of inferring a reward function from expert behavior. There are several approaches to IRL, but most are designed to learn a Markovian reward. However, a reward function …
BIRLreinforcement-learningReinforcement LearningKernel Density Bayesian Inverse Reinforcement Learning
Inverse reinforcement learning (IRL) methods infer an agent's reward function using demonstrations of expert behavior. A Bayesian IRL approach models a distribution over candidate reward functions, capturing a degree of …
BIRLDensity Estimationreinforcement-learningReinforcement Learning+1Efficient Bayesian Inverse Reinforcement Learning via Conditional Kernel Density Estimation
Inverse reinforcement learning (IRL) methods attempt to recover the reward function of an agent by observing its behavior. Given the large amount of uncertainty in the underlying reward function, it is often useful to mo…
BIRLDensity Estimationreinforcement-learningReinforcement Learning+1BIRL: Benchmark on Image Registration methods with Landmark validation
This report presents a generic image registration benchmark with automatic evaluation using landmark annotations. The key features of the BIRL framework are: easily extendable, performance evaluation, parallel experiment…
BIRLImage RegistrationMedical Image RegistrationBenchmarking of image registration methods for differently stained histological slides
Image registration is a common task for many biomedical analysis applications. The present work focuses on the benchmarking of registration methods on differently stained histological slides. This is a challenging task d…
BenchmarkingBIRLImage RegistrationMedical Image RegistrationExploring Hierarchy-Aware Inverse Reinforcement Learning
We introduce a new generative model for human planning under the Bayesian Inverse Reinforcement Learning (BIRL) framework which takes into account the fact that humans often plan using hierarchical strategies. We describ…
BIRLreinforcement-learningReinforcement LearningReinforcement Learning (RL)Deformable medical image registration: setting the state of the art with discrete methods
This review introduces a novel deformable image registration paradigm that exploits Markov random field formulation and powerful discrete optimization algorithms. We express deformable registration as a minimal cost grap…
BIRLDeformable Medical Image RegistrationImage RegistrationMedical Image RegistrationSymmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain
One of the most challenging problems in modern neuroimaging is detailed characterization of neurodegeneration. Quantifying spatial and longitudinal atrophy patterns is an important component of this process. These spatio…
BIRLDiffeomorphic Medical Image RegistrationImage RegistrationConsistent and elastic registration of histological sections using vector-spline regularization
Here we present a new image registration algorithm for the alignment of histological sections that combines the ideas of B-spline based elastic registration and consistent image registration, to allow simultaneous regist…
BIRLImage Registration