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a2c-sil-tf2

TensorFlow2 implementation of Self-Imitation Learning (SIL) with Synchronous Advantage Actor-Critic (A2C).

atomfly_kanazawa

car-racing-ppo

Implementation of a Deep Reinforcement Learning algorithm, Proximal Policy Optimization (SOTA), on a continuous action space openai gym (Box2D/Car Racing v0)

cognitiverobotics_robo_control

Trying to come up with an innovative robotic arm trajectory generating controller.

consai_ros2

ROS 2 packages for RoboCup SSL beginner. / RoboCup SSL初心者のための ROS 2パッケージ

crane_plus

CRANE+V2 ROS 2 Packages

curiosity-driven-exploration-pytorch

Curiosity-driven Exploration by Self-supervised Prediction

deep-reinforcement-learning-algorithm-collection

Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deep_reinforcement_learning_gallery

Deep reinforcement learning with tensorflow2

dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

dynamixel_hardware

ros2_control packages for ROBOTIS Dynamixel

epuck-ros2-various-analyses

example_gazebo_standalone_plugin

gazebo

Gazebo classic. For the latest version, see https://github.com/gazebosim/gz-sim

gazebo_ros2_control

Wrappers, tools and additional API's for using ROS 2 control with Gazebo

gazebo_ros_pkgs

Wrappers, tools and additional API's for using ROS with Gazebo

geometry_tutorials

ROS geometry_tutorials stack migrated from https://kforge.ros.org/geometry/tutorials/branches

gym-gazebo2

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

gym-pybullet-drones

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

hexapod

Blazing fast hexapod robot simulator for the web.

lampo_description

lmik_sample

sample of Inverse Kinematics (IK) using Levenberg-Marquardt Method

ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

mycobot_pi

Python script of myCobot

mycobot_ros2

myCobot ROS2 package

navigation2

ROS2 Navigation Framework and System

nx15a

openai_ros2

openai_ros2-1

Package containing environments to work with openai, uses rclpy