pladosz

AI_deck_vel_send_cpx

aws-api-gateway-developer-portal

A Serverless Developer Portal for easily publishing and cataloging APIs

chainer_frmqn

Chainer implementations of FRMQN and its siblings

Django-tutorial

DTSIL

GAP8_network_test

gym-gazebo-px4

PX4 reinforcement learning training enviroment based on gym-gazebo

gym-pybullet-drones

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

gym_px4_ros2

This repository is implementaing px4, ros2 and gym intreface for reinforcement learning

MOHQA

pladosz/MOHQA

pladosz/gym_px4_ros2

This repository is implementaing px4, ros2 and gym intreface for reinforcement learning

pladosz/AI_deck_vel_send_cpx

pladosz/gym-pybullet-drones

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

pladosz/aws-api-gateway-developer-portal

A Serverless Developer Portal for easily publishing and cataloging APIs

pladosz/chainer_frmqn

Chainer implementations of FRMQN and its siblings

pladosz/Django-tutorial

pladosz/DTSIL

pladosz/GAP8_network_test

pladosz/gym-gazebo-px4

PX4 reinforcement learning training enviroment based on gym-gazebo

pladosz/gym-gazebo2

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

pladosz/landing_rl

pladosz/rl-starter-files

RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code

pladosz/ros-setups

Scripts and documentation on how to setup a ROS system on various platforms, such as Odroid and Intel Edison.

pladosz/target-tracking-simulator

pladosz/torch-ac

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

pladosz/vrpn_client_ros

VRPN ROS Client