There are 6 repositories under openai-gym-environments topic.
FinRL-Meta: Dynamic datasets and market environments for FinRL.
Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)
Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors
Solving OpenAI Gym problems.
OpenModelica Microgrid Gym (OMG): An OpenAI Gym Environment for Microgrids
Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment
Policy Gradient Actor-Critic PyTorch | Lunar Lander v2
OpenAI Gym wrapper for ViZDoom enviroments
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
Collection of OpenAI parametrized action-space environments.
Single-file pytorch implementation of hybrid-SAC
A custom reinfrocement learning environment for OpenAI Gym & PettingZoo that implements various Stag Hunt-like social dilemma games.
OpenAI Gym Robot Arm Environment in 2D
OpenAi's gym environment wrapper to vectorize them with Ray
A Reinforcement Learning agent to perform overtaking action using Double DQN based CNNs which takes images as input built using TensorFlow.
Reinforcement Learning + Microgrids for OpenDSS with the Stanford Microgrid Analysis and Research Training internship
An OpenAI gym multi-agent environment implementing the Commons Game proposed in "A multi-agent reinforcement learning model of common-pool resource appropriation"
Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.
Designing a control system to exploit model-free deep reinforcement learning algorithms to solve a real-world autonomous driving task of a small robot.
OpenAI Gym wrapper for the Quanser Qube and Quanser Aero
OpenAI Gym interface for Universal Robots with ROS Gazebo
Environment for OpenAI Gym which can simulate an app deployed to a cloud environment.
reinforcement learning DQN method to solve OpenAi Gym "LunarLander-v2" by usnig a Deep Neuralnetwork
Awesome openai gym environments
💳 Creates a new gym environment for credit-card anomaly detection using Deep Q-Networks (DQN) and leverages Open AI's Gym toolkit to allocate appropriate awards to the RL agent.
Configurable Curriculum Learning Domain for Reinforcement Learning Agents. As specified by [Narvekar, Sanmit, Jivko Sinapov, and Peter Stone. "Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning." IJCAI. 2017.]
Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.
Tutorial for Pybullet