Popular GitHub Repositories for Iam Policies

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)

Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

[RSS 2024] Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

Reading list for adversarial perspective and robustness in deep reinforcement learning.

Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)

Implementation of Diffusion Policy, Toyota Research's supposed breakthrough in leveraging DDPMs for learning policies for real-world Robotics

Adversarial attacks on Deep Reinforcement Learning (RL)

Python 开发者轻松上手 AWS

[ICLR 25] Code for "Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning"

[RSS 2023] Official code for "Goal Conditioned Imitation Learning using Score-based Diffusion Policies"

Official PyTorch Implementation of "WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models" - ICDAR 2023

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

FerrisKey是一款开源的访问管理(IAM)解决方案，专为现代云原生环境而设计。它采用Rust编写高性能API，并使用Typescript/React开发直观的Web界面，为传统的IAM解决方案提供了一个强大而灵活的替代方案。

AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World

Hierarchical Universal Language Conditioned Policies

Command line interface for MCP clients with secure execution and customizable security policies