FinRL-Meta: Dynamic datasets and market environments for FinRL.
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Updated
Oct 15, 2024 - Python
FinRL-Meta: Dynamic datasets and market environments for FinRL.
Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors
A collection of useful environments for testing Reinforcement Learning algorithms. Designed (mostly) with discrete, graph-based methods in mind.
OpenAI Gym interface for Universal Robots with ROS Gazebo
Environment for OpenAI Gym which can simulate an app deployed to a cloud environment.
The development of an AI agent proficient in the classic game 'Breakout,' utilizing deep reinforcement learning and a DQN architecture.
A Reinforcement Mario game using the PPO(Proximal Policy Optimization) algorithm and OpenAI gym environment.
Context-Based Meta-Reinforcement Learning with Bayesian Nonparametric Models (MELTS)
OpenAi's gym environment wrapper to vectorize them with Ray
Smart Nanogrid Gym is an OpenAI Gym environment for simulation of a smart nanogrid incorporating renewable energy systems, battery energy storage systems, electric vehicle charging station, grid connection, a connected building and using vehicle-to-everything methodology.
This project focuses on balancing a pole in OpenAI's Gym Cartpole environment using various deep learning techniques. It aims to apply and compare different approaches to solve the balancing challenge effectively.
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Implement hill-climbing method with adaptive noise scaling
Collection of OpenAI parametrized action-space environments.
Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.
OpenAI Gym wrapper for the Quanser Qube and Quanser Aero
An OpenAI Gym environment for stock market data
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