Wave-Defense-Learning-Environment
gym-pybullet-drones
Wave-Defense-Learning-Environment | gym-pybullet-drones | |
---|---|---|
1 | 4 | |
13 | 1,096 | |
- | 3.4% | |
10.0 | 8.4 | |
over 1 year ago | 19 days ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Wave-Defense-Learning-Environment
-
A new gym-like learning environment for learning from pixels! [Wave Defense]
Just sharing that I just published a new learning environment for reinforcement learning agents to learn policies from pixels. The Wave Defense Learning Environment is useful for debugging new implementations and algorithms the image-based settings (a decent algorithm should solve the environment).
gym-pybullet-drones
-
Drone Racing RL Environments
Gym-pybullet-drones (https://github.com/utiasDSL/gym-pybullet-drones)
-
drone environment ?
https://github.com/utiasDSL/gym-pybullet-drones I have used this library and liked it a lot. It comes with a ready quadcopter and environment. I think at the initialization step you should be able to apply random force for throwing effect.
- How to simulate solidworks model with python?
- Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control
What are some alternatives?
gym-mtsim - A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
robot-gym - RL applied to robotics.
MuJoCo_RL_UR5 - 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.
pybullet-gym - Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
rl-baselines3-zoo - A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Wave-Defense-Baselines
Bullet - Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
rlcard - Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
on-policy - This is the official implementation of Multi-Agent PPO (MAPPO).
flightmare - An Open Flexible Quadrotor Simulator
isaac_ros_apriltag - Hardware-accelerated Apriltag detection and pose estimation.