This repository contains code for simulating coupled motion of rigid ball and fluid in 2D and this is used as an environment in Gym to train a controller to balance the ball in air.

C++ implementation of the continuous LunarLander environment.

C++17 OpenAI gym

Decentralized Multi-Agent Exploration on ROS with Distributed Deep Reinforcement Learning using A3C Algorithm

C++ wrappers of OpenAI-Gym environments

The playground for reinforcement learning in networking research with SUMO integration.

Deep Reinforcement Learning applied to the control of a 3 DOF robot arm using OpenAI Gym and Gazebo. Done as part of the Udacity Robotics Nanodegree.

n reinforcement learning algorithm robot learn and explore the all possible action in all possible states in given environment .If noise is added to action vector , its doesn’t guarantee the to give the correct result for varied states. The main objective of this project is to study the behavior of robot in OpenAI Gym Environments by adding corr…

Anomalous versions of OpenAI Gym and PyBullet3 environments

Implementation of Reinforcement learning algortihm in HTTP Adaptive Streaming (HAS) over NS3

Active-flow-control (AFC) environments developed using the Gym-preCICE adapter.

Deep Developmental Reinforcement Learning

A C++ implementation of the asynchronous advantage actor-critic (A3C) algorithm

Decentralized Multi-Agent Exploration on ROS with Distributed Deep Reinforcement Learning using A3C Algorithm

VANET simulation using Veins-Gym to combine Veins with Reinforcement Learning

gym tcp api

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

A Python3 NES emulator and OpenAI Gym interface