Reinforcement Learning Category

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Reinforcement Learning

Google Highlights How Statistical Uncertainty Of Outcomes Must Be Considered To Evaluate Deep RL Reliably and Propose A Python Library Called ‘RLiable’

Google AI Research Propose A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning

Facebook AI Introduce ‘SaLinA’: A Lightweight Library To Implement Sequential Decision Models, Including Reinforcement Learning Algorithms

Facebook AI Releases ‘CompilerGym’: A Library of High-Performance, Easy-to-Use Reinforcement Learning Environments For Compiler Optimization Tasks

CMU Researchers Introduce ‘CatGym’, A Deep Reinforcement Learning (DRL) Environment For Predicting Kinetic Pathways To Surface Reconstruction in a Ternary Alloy

Most Read

NVIDIA Open-Source ‘FLARE’ (Federated Learning Application Runtime Environment), Providing A Common Computing Foundation For Federated Learning

Ericsson And Uppsala University Team Up To Research Air Quality Prediction Using Machine Learning And Federated learning

Google Research Open-Sources ‘SAVi’: An Object-Centric Architecture That Extends The Slot Attention Mechanism To Videos

Apple Researchers Propose A Method For Reconstructing Training Data From Diverse Machine Learning Models By Ensemble Inversion