#Gym-environment
Showing 20 of 20 repositories tagged #gym-environment, ranked by stars
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.
A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.
Obstacle Tower Environment
Framework for Multi-Agent Deep Reinforcement Learning in Poker
A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
A simple, easy, customizable Gymnasium environment for trading.
Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making
High-fidelity, anycloud emulators running in your laptop. For DevOps programming, testing, and simulation.
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
An OpenAI Gym environment wrapper for the Mupen64Plus N64 emulator
Develop your agent for generals.io!
This projects aims to use reinforcement learning algorithms to play the game 2048.
Scalable Implementation of Neural Fictitous Self-Play
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
This Reinforcement learning agent uses Policy-Gradient method to trade the market
Gym environment which simulates intraday trading
End-to-end RL trading framework with PPO agent, self-attention neural network, custom Gym environment, and advanced backtesting.