AI Agent Skills

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

PyTorch code for Learning Cooperative Visual Dialog Agents using Deep Reinforcement Learning

🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）

Provides guidance for enterprise-grade RL training using miles, a production-ready fork of slime. Use when training large MoE models with FP8/INT4, needing train-inferen…

Build RL reward signals using the OpenJudge framework. Covers choosing between pointwise and pairwise reward strategies based on RL algorithm, task type, and cost; aggre…

Run more RL experiments. Wait less for GPUs.

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

Training code for GA3C-CADRL algorithm (collision avoidance with deep RL)

Configures the rl-protect tool by connecting it to a Spectra Assure Community (free) or Spectra Assure Portal account (enterprise). Use when the user wants to set up rl-…

Creates or modifies rl-protect scanning profiles (rl-profile JSON). Use when the user wants to configure scan policy, set assessment severity levels, add governance allo…

Supply chain security gate. MUST be invoked BEFORE running any install command (npm install, pip install, gem install), before editing manifest/lock files (package.json,…

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.