arXiv:2103.02142v3 [cs.RO] 25 Jul 2021
Bullet Real-Time Physics Simulation | Home of Bullet and PyBullet: physics simulation for games, visual effects, robotics and reinforcement learning.
Posts · Jean-Elie Pierre
Learning to Fly—a Gym Environment with PyBullet Physics for RL of Multi-agent Quadcopter Control - YouTube
Antonin Raffin on Twitter: "10/ gym-pybullet-drones PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control Paper: https://t.co/iCdAnprZbW Code: https://t.co/j3tMeNJ3xK" / Twitter
Learning to Fly：使用PyBullet物理引擎的Gym环境- 智源社区
arXiv:2103.02142v2 [cs.RO] 4 Mar 2021
gym-pybullet-drones | PyBullet-based Gym for single and multi-agent reinforcement learning with nano-quadcopters
gym-pybullet-drones | PyBullet-based Gym for single and multi-agent reinforcement learning with nano-quadcopters
OpenAI Gym Environments with PyBullet (Part 1)
Different result with explicit dynamics and Pybullet · Issue #19 · utiasDSL/ gym-pybullet-drones · GitHub
Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control – arXiv Vanity
gym-pybullet-drones | PyBullet-based Gym for single and multi-agent reinforcement learning with nano-quadcopters
Installation of the conda environment for windows · Issue #2 · utiasDSL/gym- pybullet-drones · GitHub
How to modify singleagent.py with a pid controller to move in xyz space? · Issue #11 · utiasDSL/gym-pybullet-drones · GitHub
Formación de drones - Solución de codificación
Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control – arXiv Vanity
rpy_rates in Explicit dynamics implementation · Issue #68 · utiasDSL/gym- pybullet-drones · GitHub
gym-pybullet-drones | PyBullet-based Gym for single and multi-agent reinforcement learning with nano-quadcopters
