Co-occurring keywords · papers mentioning both
Papers
Generalizing Analogical Inference from Boolean to Continuous Domains
AAAI 2026
Discrete and Continuous Difference of Submodular Minimization
ICML 2025
Unified Video Generation via Next-Set Prediction in Continuous Domain
ICCV 2025
Continuous Invariance Learning
ICLR 2024
Learning a Diffusion Model Policy from Rewards via Q-Score Matching
ICML 2024
Space and time continuous physics simulation from partial observations
ICLR 2024
A New Modeling Framework for Continuous, Sequential Domains
AISTATS 2023
Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces
AISTATS 2023
Sparse Continuous Distributions and Fenchel-Young Losses
JMLR 2022
The Logical Options Framework
ICML 2021
Continuously Indexed Domain Adaptation
ICML 2020
Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains
ICML 2020
Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains
IJCAI 2019
Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation
ICML 2019
Reinforcement Learning in Configurable Continuous Environments
ICML 2019
Adaptable replanning with compressed linear action models for learning from demonstrations
CoRL 2018
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains
AISTATS 2017
Heuristic Online Goal Recognition in Continuous Domains
IJCAI 2017
Approximate Inference in Continuous Determinantal Processes
NeurIPS 2013
Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization
NeurIPS 2012
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining
NeurIPS 2009
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains
NeurIPS 2007