Co-occurring keywords · papers mentioning both
Papers
Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning
AAAI 2025
Welfare-Optimal Serial Dictatorships Have Polynomial Query Complexity
AAAI 2025
Convergence of Kinetic Langevin Monte Carlo on Lie groups
COLT 2024
HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction
ICML 2024
Potential-Based Reward Shaping for Intrinsic Motivation (Student Abstract)
AAAI 2024
Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence
AISTATS 2022
PDE-Based Optimal Strategy for Unconstrained Online Learning
ICML 2022
PONI: Potential Functions for ObjectGoal Navigation With Interaction-Free Learning
CVPR 2022
Utility Theory for Sequential Decision Making
ICML 2022
On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness
COLT 2021
An Investigation of Potential Function Designs for Neural CRF
EMNLP 2020
New Potential-Based Bounds for Prediction with Expert Advice
COLT 2020
Reward Propagation Using Graph Convolutional Networks
NeurIPS 2020
Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions
COLT 2019
Combinatorial Cost Sharing
IJCAI 2018
Learning Ensembles of Potential Functions for Structured Prediction With Latent Variables
ICCV 2015
No-regret Algorithms for Online Convex Programs
NeurIPS 2006