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entropy regularization

161 papers

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