Summary of Optimizing Risk-averse Human-ai Hybrid Teams, by Andrew Fuchs et al.
Optimizing Risk-averse Human-AI Hybrid Teamsby Andrew Fuchs, Andrea Passarella, Marco ContiFirst submitted to arxiv on:…
Summary of Autodfp: Automatic Data-free Pruning Via Channel Similarity Reconstruction, by Siqi Li et al.
AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstructionby Siqi Li, Jun Chen, Jingyang Xiang, Chengrui…
Summary of Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning For Portfolio Optimization, by Philip Ndikum et al.
Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning for Portfolio Optimizationby Philip Ndikum, Serge NdikumFirst submitted…
Summary of Do Agents Dream Of Electric Sheep?: Improving Generalization in Reinforcement Learning Through Generative Learning, by Giorgio Franceschelli and Mirco Musolesi
Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learningby Giorgio…
Summary of Symmetric Q-learning: Reducing Skewness Of Bellman Error in Online Reinforcement Learning, by Motoki Omura et al.
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learningby Motoki Omura, Takayuki Osa,…
Summary of Constrained Optimal Fuel Consumption Of Hev: a Constrained Reinforcement Learning Approach, by Shuchang Yan
Constrained Optimal Fuel Consumption of HEV: A Constrained Reinforcement Learning Approachby Shuchang YanFirst submitted to…
Summary of Optimizing Negative Prompts For Enhanced Aesthetics and Fidelity in Text-to-image Generation, by Michael Ogezi and Ning Shi
Optimizing Negative Prompts for Enhanced Aesthetics and Fidelity in Text-To-Image Generationby Michael Ogezi, Ning ShiFirst…
Summary of Reinforced Sequential Decision-making For Sepsis Treatment: the Posnegdm Framework with Mortality Classifier and Transformer, by Dipesh Tamboli and Jiayu Chen and Kiran Pranesh Jotheeswaran and Denny Yu and Vaneet Aggarwal
Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformerby Dipesh…
Summary of On the Limited Representational Power Of Value Functions and Its Links to Statistical (in)efficiency, by David Cheikhi et al.
On the Limited Representational Power of Value Functions and its Links to Statistical (In)Efficiencyby David…
Summary of Disentangling Policy From Offline Task Representation Learning Via Adversarial Data Augmentation, by Chengxing Jia et al.
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentationby Chengxing Jia, Fuxiang Zhang,…