The Diffusion Model in RL was introduced by “Planning with Diffusion for Flexible Behavior Synthesis” by Janner, Michael, et al. It casts trajectory optimization as a diffusion probabilistic model that plans by iteratively refining trajectories....
A Taxonomy of Model-Based RL Algorithms We’ll start this section with a disclaimer: it’s really quite hard to draw an accurate, all-encompassing taxonomy of algorithms in the Model-Based RL space, because the modularity of algorithms is not well-represented by a tree structure. So we will...
关键词:Diffusion Model, Text-to-Image, Aesthetic 论文标题:Few-shot Preference Learning for Human-in-the-Loop RL 作者:Joey Hejna, Dorsa Sadigh 链接:openreview.net/pdf? 关键词:Preference Learning, Interactive Learning, Multi-task Learning, Expanding the pool of available data by viewing human-in-...
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems, (2019),Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings.[pdf] MIND: Model Independent Neural Decoder, (2019),Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan.[pdf] ...
Awesome Courses Introduction There is a lot of hidden treasure lying within university pages scattered across the internet. This list is an
llama2.rs : A fast llama2 decoder in pure Rust. Llama2-burn : Llama2 LLM ported to Rust burn. gaxler/llama2.rs : Inference Llama 2 in one file of pure Rust 🦀 whisper-burn : A Rust implementation of OpenAI's Whisper model using the burn framework. stable-diffusion-burn : Stable...
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs: NeurIPS20 In this paper, we take a model-based approach to continuous-time RL, modeling the dynamics via neural ordinary differential equations (ODEs). Not only is this more sample efficient than model-free ...
Curse of “Low” Dimensionality in Recommender Systems Diffusion Recommender Model Distillation-Enhanced Graph Masked Autoencoders for Bundle Recommendation Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation Dynamic Graph Evolution Learning for Recommendation Editable User ...
Shapley -> A data-driven framework to quantify the value of classifiers in a machine learning ensemble. igel -> A delightful machine learning tool that allows you to train/fit, test and use models without writing code ML Model building -> A Repository Containing Classification, Clustering, Regre...
go-mxnet-predictor - Go binding for MXNet c_predict_api to do inference with a pre-trained model. go-ml-transpiler - An open source Go transpiler for machine learning models. golearn - Machine learning for Go. goml - Machine learning library written in pure Go. gorgonia - Deep learning ...