entropy regularization

Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning AAAI 2023 A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization AISTATS 2022 A Self-Supervised Descriptor for Image Copy Detection CVPR 2022 Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime ICML 2022 Debiaser Beware: Pitfalls of Centering Regularized Transport Maps ICML 2022 Deep Generalized Schrödinger Bridge NeurIPS 2022 Discrete Probabilistic Inverse Optimal Transport ICML 2022 Efficient Optimal Transport Algorithm by Accelerated Gradient Descent AAAI 2022 Entropic Gromov-Wasserstein between Gaussian Distributions ICML 2022 Entropy Regularized Optimal Transport Independence Criterion AISTATS 2022 Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences JMLR 2022 Implicitly Regularized RL with Implicit Q-values AISTATS 2022 Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs ICML 2022 Neuro-symbolic entropy regularization UAI 2022 Online Decision Transformer ICML 2022 On the Efficiency of Entropic Regularized Algorithms for Optimal Transport JMLR 2022 OSSGAN: Open-Set Semi-Supervised Image Generation CVPR 2022 Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games NeurIPS 2022 Sample Efficient Stochastic Policy Extragradient Algorithm for Zero-Sum Markov Game ICLR 2022 Action redundancy in reinforcement learning UAI 2021 A decentralized policy gradient approach to multi-task reinforcement learning UAI 2021 A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters JMLR 2021 Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning AISTATS 2021 Cautious Actor-Critic ACML 2021 Differentiable Particle Filtering via Entropy-Regularized Optimal Transport ICML 2021