Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
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Updated
Oct 5, 2022 - C++
Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
ns3-gym - The Playground for Reinforcement Learning in Networking Research
A Python3 NES emulator and OpenAI Gym interface
Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo
A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)
Deep Developmental Reinforcement Learning
Decentralized Multi-Agent Exploration on ROS with Distributed Deep Reinforcement Learning using A3C Algorithm
A C++ implementation of the asynchronous advantage actor-critic (A3C) algorithm
VANET simulation using Veins-Gym to combine Veins with Reinforcement Learning
Anomalous versions of OpenAI Gym and PyBullet3 environments
C++ wrappers of OpenAI-Gym environments
Implementation of Reinforcement learning algortihm in HTTP Adaptive Streaming (HAS) over NS3
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.
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.
Active-flow-control (AFC) environments developed using the Gym-preCICE adapter.
Decentralized Multi-Agent Exploration on ROS with Distributed Deep Reinforcement Learning using A3C Algorithm
The playground for reinforcement learning in networking research with SUMO integration.
C++ implementation of the continuous LunarLander environment.
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