AI Agent Skills

Deep Reinforcement Learning for Keras.

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

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

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

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

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.

Colab notebooks part of the documentation of Stable Baselines reinforcement learning library

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports dive…

3D-printed open-source humanoid robot platform for sim-to-real and RL

K-Sim Gym: Making robots useful with RL. Built on top of K-Sim.

A lightweight robotics RL framework built on Genesis with IsaacLab-aligned APIs, enabling fast task development and easy migration from existing IsaacLab environments.