PRM选择:hard label、soft label 或者 entropy-regularized label? 发布于 2024-12-17 20:48・IP 属地浙江 赞同5 分享收藏 写下你的评论... 还没有评论,发表第一个评论吧登录知乎,您可以享受以下权益: 更懂你的优质内容 更专业的大咖答主 更深度的互动交流 更高效的创作环境立即登录/注册...
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 ...
Here is the code for our ICML-2019 paper "Maximum Entropy-Regularized Multi-Goal Reinforcement Learning". The code was developed by Rui Zhao (Siemens AG & Ludwig Maximilian University of Munich). For details on Maximum Entropy-based Prioritization (MEP), please read the ICML paper (link:http:...
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 games....
Weighted Entropy: Hpw=−∑k=1Kwkpklogpk 贡献 promising improvements in both performance and sample-efficiency 做法 简述 1 提出基于加权的熵的多目标rl, 鼓励智能体最大化回报的同时,完成更多的目标 2 提出最大熵的prioritization框架 具体 每一个回合,给定一个 gs ,考虑goal_conditioned policy, 轨...
Regularized Opponent Model with Maximum Entropy Objective This repo aims to provide an algorithm implementation for IJCAI 2019 paperRegularized Opponent Model with Maximum Entropy Objective (ROMMEO)and its baselines. There are some additional materials avaiable here: ...
we propose an entropy-regularized process reward model (ER-PRM) that integrates KL-regularized Markov Decision Processes (MDP) to balance policy optimization with the need to prevent the policy from shifting too far from its initial distribution. We derive a novel reward construction method based on...
Paper tables with annotated results for Synthesis and Analysis of Data as Probability Measures with Entropy-Regularized Optimal Transport
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...
Schneider, and M. Bartelmann. Entropy-regularized maximum-likelihood cluster mass reconstruction. A&A, 337:325-337, September 1998.Stella Seitz, Peter Schnider, and Matthias Batelmann, "Entropy-Regularized Maximum Likelihood Cluster Mass Reconstruction," ArXiv Computer Science e-prints, March 2003....