Reinforcement Learning environments based on the 1993 game Doom
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Updated
Feb 13, 2024 - C++
Reinforcement Learning environments based on the 1993 game Doom
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
Visually Realistic Underwater Robotics Simulator UNav-Sim
Docker-based, gym-like torcs environment with vision.
OpenAI GYM environment for 6-DOF Helicopter simulation
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.
An AI gym for building, measuring, and learning agents in massively parallel fuzzed environments using the Chinese Room Abstract Stack (Crabs) machine, ASCII Data Types, and Script2.
Gym interface for Walbi robot, the Walking Biped
Dynamic System solver for reinforcement learning environment. It solves ODE with 4^{th} order Runge-Kutta methods.
C++ implementation of the continuous LunarLander environment.
Chess AI bot using the minimax algorithm, building upon gym-chess. Used Stockfish for the Evaluation Function
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