run-skeleton-run-in-3d
Humanoid locomotion simulator
A reinforcement learning environment to simulate and train policies for humanoid locomotion in 3D space
NeurIPS 2019: Learn to Move - Walk Around, 2nd place solution
18 stars
3 watching
1 forks
Language: Python
last commit: almost 3 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
| A starter kit for training agents to navigate a robotic environment using reinforcement learning algorithms | 9 | |
| A simulation environment for training robots to interact with realistic 3D scenes and perform tasks such as navigation and manipulation. | 676 | |
| Provides an API and environment for training AI agents in Unity, using the Unity ML-Agents package | 3 | |
| A C++ library for simulating and analyzing dynamics of robots with floating bases | 177 | |
| Training an open-source quadruped robot to perform domestic and generic tasks using reinforcement learning and OpenAI Gym. | 998 | |
| A MATLAB-based simulator for quadruped robots with a focus on contact forces and gait planning. | 220 | |
| A toolkit for simulating and optimizing the movement of bipedal robots using advanced mathematical techniques and symbolic computation. | 159 | |
| Simulates vehicle and robot dynamics in various environments | 302 | |
| A collection of robotic simulation environments for reinforcement learning | 585 | |
| A pedestrian simulator for real-time simulation of crowded scenes using social force model | 480 | |
| A toolkit for training and backtesting reinforcement learning algorithms in trading environments. | 1,610 | |
| A Gymnasium-based interface for interacting with simulation engines like EnergyPlus to build and test control strategies using reinforcement learning | 137 | |
| Develops control algorithms for humanoid robots using Simulink-based whole-body controllers | 125 | |
| A PyTorch-based framework for training and studying artificial species in bio-inspired environments | 72 | |
| An AI training environment for cyber-defence scenarios | 17 |