FinRL-Meta: Dynamic datasets and market environments for FinRL.
-
Updated
Jul 1, 2024 - Python
FinRL-Meta: Dynamic datasets and market environments for FinRL.
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)
Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
A universal flight control tuning framework
Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors
Solving OpenAI Gym problems.
A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow
OpenModelica Microgrid Gym (OMG): An OpenAI Gym Environment for Microgrids
Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment
OpenAI Gym wrapper for ViZDoom enviroments
Policy Gradient Actor-Critic PyTorch | Lunar Lander v2
Solving several OpenAI Gym and custom gazebo environments using reinforcement learning techniques.
Single-file pytorch implementation of hybrid-SAC
OpenAI Gym wrapper for the Quanser Qube and Quanser Aero
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
Collection of OpenAI parametrized action-space environments.
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.
Add a description, image, and links to the openai-gym-environments topic page so that developers can more easily learn about it.
To associate your repository with the openai-gym-environments topic, visit your repo's landing page and select "manage topics."