In this work, we study the Gaussian geometry under the entropy-regularized 2-Wasserstein distance, by providing closed-form solutions for the distance and interpolations between elements. Furthermore, we provide a fixed-point characterization of a population barycenter when restricted to the manifold ...
We consider both entropy-regularized $N$-stage and entropy-regularized discounted stochastic games, and establish the existence of a value in both games. Moreover, we prove the sufficiency of Markovian and stationary mixed strategies to attain the value, respectively, in $N$-stage and discounted ...
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023) - PointCloudYC/ERDA
To test the learned policies, you can run the command: python baselines/her/experiment/play.py /path/to/an/experiment/policy_latest.pkl Citation: Citation of the ICML paper: @inproceedings{zhao2019maximum, title={Maximum Entropy-Regularized Multi-Goal Reinforcement Learning}, author={Zhao, Rui an...
[IEEE 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) - Jeju Island, South Korea (2009.08.20-2009.08.24)] 2009 IEEE International Conferenc... [IEEE 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) - Jeju Island, South Korea (2009.08.20-2009.08.24)] 2009 IEEE...
We obtain the explicit form of the entropy-regularized optimal transport cost on multivariate normal and q-normal distributions; this provides a perspective to understand the effect of entropy regularization, which was previously known only experimentally. Furthermore, we obtain the entropy-regularized ...
If the value of one these invariants is less than 1 then the logarithm of the inverse of its value is a positive lower bound for the regularized minimum entropy of an output quantum channel. We give a few examples in which one of these invariants is less than 1. We also study the ...
Entropy-regularized Wasserstein distributionally robust shape and topology optimizationRobust optimizationDistributional robustnessWassertstein distanceEntropic regularizationShape optimizationTopology optimizationLinear elasticityThis brief note aims to introduce the recent paradigm of distributional robustness in the field...
Standard POMDP techniques are shown to offer bounded-error solutions to these entropy-regularized POMDPs, with exact solutions possible when the regularization involves the joint entropy of the state, observation, and control trajectories. Our joint-entropy result is particularly surprising since it ...
In this work, we study the Gaussian geometry under the entropy-regularized 2-Wasserstein distance, by providing closed-form solutions for the distance and interpolations between elements. Furthermore, we provide a fixed-point characterization of a population barycenter when restricted to the manifold ...