conftrace_

entropy regularization

132 papers

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Co-occurring keywords

optimal transport (948) reinforcement learning (4352) policy optimization (657) sinkhorn algorithm (64) zero-sum game (190) markov decision process (790) nash equilibrium (398) policy gradient (520) semi-supervised learning (2341) entropic regularization (53)

Papers

Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage Reweighting ACL 2026
ReAttn: Improving Attention-based Re-ranking via Attention Re-weighting EACL 2026
Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models ACL 2026
Priority-Based Graph-Enhanced Reinforcement Learning for Robust Analog Circuit Optimization AAAI 2026
CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning ACL 2026
Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions AAAI 2026
Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via sequence-level likelihood ACL 2026
SL-CBM: Enhancing Concept Bottleneck Models with Semantic Locality for Better Interpretability AAAI 2026
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks CVPR 2025
Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2025
Reward-Directed Score-Based Diffusion Models via q-Learning JMLR 2025
Maximum Entropy Softmax Policy Gradient via Entropy Advantage Estimation IJCAI 2025
Entropy-Adaptive Diffusion Policy Optimization with Dynamic Step Alignment ICCV 2025
Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm AISTATS 2024
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization JMLR 2024
Generative Flow Networks as Entropy-Regularized RL AISTATS 2024
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality JMLR 2024
Lower Complexity Adaptation for Empirical Entropic Optimal Transport JMLR 2024
PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium JMLR 2024
e-Health CSIRO at RRG24: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generation ACL 2024
Open problem: Convergence of single-timescale mean-field Langevin descent-ascent for two-player zero-sum games COLT 2024
Diffusion Actor-Critic with Entropy Regulator NIPS 2024
On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport JMLR 2024
Learning true objectives: Linear algebraic characterizations of identifiability in inverse reinforcement learning L4DC 2024
Optimal Transport with Cyclic Symmetry AAAI 2024