Co-occurring keywords · papers mentioning both
Papers
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks
CVPR 2025
Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces
ICML 2024
ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
ICML 2024
Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently
NeurIPS 2024
Decoupling regularization from the action space
ICLR 2024
Diffusion Actor-Critic with Entropy Regulator
NeurIPS 2024
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
NeurIPS 2024
e-Health CSIRO at RRG24: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generation
ACL 2024
Energy-guided Entropic Neural Optimal Transport
ICLR 2024
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning
NeurIPS 2024
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
JMLR 2024
Generative Flow Networks as Entropy-Regularized RL
AISTATS 2024
Learning true objectives: Linear algebraic characterizations of identifiability in inverse reinforcement learning
L4DC 2024
Lower Complexity Adaptation for Empirical Entropic Optimal Transport
JMLR 2024
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality
JMLR 2024
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
AAAI 2024
On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport
JMLR 2024
Open problem: Convergence of single-timescale mean-field Langevin descent-ascent for two-player zero-sum games
COLT 2024
Optimal Transport with Cyclic Symmetry
AAAI 2024
PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium
JMLR 2024
Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation
AAAI 2024
Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula
ICLR 2024
Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm
AISTATS 2024
Unsupervised Representation Learning by Balanced Self Attention Matching
ECCV 2024
Algorithm for Constrained Markov Decision Process with Linear Convergence
AISTATS 2023