Super-mario-bros-PPO-pytorch
pybullet-gym
| Super-mario-bros-PPO-pytorch | pybullet-gym | |
|---|---|---|
| 1 | 7 | |
| 970 | 810 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 3 years ago | over 2 years ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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Super-mario-bros-PPO-pytorch
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[AI application] AI agent plays Contra
if you are interested in Super mario bros, here you are https://github.com/uvipen/Super-mario-bros-PPO-pytorch
pybullet-gym
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Well, at least Epic kinda started "promoting" Rocket League inside Fortnite LUL
And when something like "RL/Fortnite Racing" comes out, with shared inventory, it may work as the pilot "beta test" of RL finally working in UE5. At least the game's physics engine (pybullet.org) is independent of the graphics. https://x.com/CactousMan/status/1690437803711320064
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Mujoco vs Pybullet for closed loop chain environment
From what I know in pybullet you define the system of the environment loading an urdf file. So if you check the InvertedPendulum environment of pybullet I think you could create your desired urdf without a problem. I have not used mujoco, but it seems strange that it could not do what you want to do... Maybe there is a parameter of the joints or some kind of tolerance for the initial position?
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Alternatives to Unity3D for simulating 3D environments with realistic physics for robotics and training a reinforcement learning model?
So far I found PyBullet, RobotPy, RobotDK, SOFA, and some others, but I wonder if there is something that is comparable or better than Unity 3D for this specific use case.
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Getting started in 3D design
yeah, i guess compared to modeling tools like tinkercad, blender is not intuitive and hard to learn. im not aware of any FEM with blender but there's bullet, basis of https://pybullet.org/. blender has an omniverse connector now so it could probably be used in a pipeline with nvidia's isaac. https://developer.nvidia.com/isaac-sim https://developer.nvidia.com/blog/introducing-omniverse-usd-support-for-blender/
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I’m 15 and this is yeet
Programming is also really important when learning anything about machine learning and I would start out with the OpenAI Gym and its derivative for learning some of the simpler algorithms on toy environments that doesn't require a whole lot of computing power. Then you can move on to the more hardware constrained simulators that I mentioned in the previous comment (MuJoCo, PyBullet, NVIDIA Isaac Gym).
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[N] Mujoco is free for everyone until October 31 2021
shout-out to the open-source clones of the mujoco gym environments here
- Ask questions ahead of the Microsoft Research RL AMA on March 24 with John Langford and Akshay Krishnamurthy
What are some alternatives?
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
brax - Massively parallel rigidbody physics simulation on accelerator hardware.
muzero-general - MuZero
gym-pybullet-drones - PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
pytorch-learn-reinforcement-learning - A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.
gym_solo - A custom open ai gym environment for solo experimentation.
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
rl-baselines-zoo - A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
chess - Program for playing chess in the console against AI or human opponents
rl-baselines3-zoo - A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.