carla
gym
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carla | gym | |
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22 | 96 | |
10,347 | 33,750 | |
2.1% | 0.8% | |
8.3 | 0.0 | |
3 days ago | about 1 month ago | |
C++ | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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carla
- What good Autonomous Driving simulators for research?
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Importing map from google maps
If you are looking for a different simulator, I would suggest using (Carla)[https://carla.org/] with ROS bridge and it also has an inbuilt support for OSM which worked flawlessly (you have to install it from source to get the OSM plugin).
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[D] Doing my (bachelor) thesis on RL. Which topic do you like best?
(3) I would suggest you use CARLA or TORCS for self-driving cars in RL as they are common test beds.
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Currently writing out a plan for an RL based path-planning project. (I'm doing it for my Smart Vehicles course in my Master's Degree) Don't have much domain knowledge atm but looking for some advice on how to approach the problem?
Carla: https://github.com/carla-simulator/carla
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8+ Reinforcement Learning Project Ideas
CARLA
- [R] CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
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Is it possible to train a self driving car on google colab?
I've been trying for a while now and I started thinking it may not be possible. If anyone has managed to train a self-driving car simulator using openai gym on google colab(preferably), or on any remote server (AWS, GCP, ...) please let me know. So far, I tried carla, airsim, svl, deepdrive and they are all equally useless unless run locally with a gui. I'd really appreciate if someone suggests some way that actually can make it possible.
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What is the best source to learn how to build a self-driving car from scratch?
If you're more on the simulation side, you can do it with CARLA: http://carla.org/ You can add almost any sensor type there, create your pipeline, even use Openpilot from Comma ai.
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Made a selfDrivingCar recently.
Great work! For more data acquisition (perhaps will help the domain gap) you can look into CARLA: https://carla.org
gym
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Shimmy 1.0: Gymnasium & PettingZoo bindings for popular external RL environments
This includes single-agent Gymnasium wrappers for DM Control, DM Lab, Behavior Suite, Arcade Learning Environment, OpenAI Gym V21 & V26. Multi-agent PettingZoo wrappers support DM Control Soccer, OpenSpiel and Melting Pot. For more information, read the release notes here:
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[P] Reinforcement learning evolutionary hyperparameter optimization - 10x speed up
how would this interact/compare with https://github.com/openai/gym?
- What has replaced OpenAI Retro Gym?
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Understanding Reinforcement Learning
If you'd like to learn more about reinforcement learning or play with a number of samples in controlled environments, I highly recommend you look at the documentation for OpenAI's Gym library and particularly the basic usage page. OpenAI's Gym provides a standardized environment for performing reinforcement learning on classic Atari games and a few other platforms and should be an educational resource. If you'd like a more detailed example, check out this tutorial on Paperspace's blog.
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Using the cross-entropy method to solve Frozen Lake
Frozen Lake is an OpenAI Gym environment in which an agent is rewarded for traversing a frozen surface from a start position to a goal position without falling through any perilous holes in the ice.
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How can we model an observation space of an env with different features and sizes.
After some googling, I have found that there are a wrappers for normalization (https://github.com/openai/gym/blob/master/gym/wrappers/normalize.py)
- RL Agent Library to use graph in spaces
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What is the "state of the art" in terms of game AI?
In regards to Competitive game AI the papers of OpenAi / Deepmind give you insight into what is coming: * Go: Alpha Go. * Dota: Open AI. * StarCraft: Alphastar. If you wanna have a go at it yourself try this: https://github.com/openai/gym.
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[N] Gym 0.26.0 was just released, with the last breaking changes to the core Gym API, and it will be stable going forward-- this is the stable version you want to finally upgrade all your things to
It’s has docs for like 9 months now: https://www.gymlibrary.dev/
Release notes available here: https://github.com/openai/gym/releases/tag/0.26.0
What are some alternatives?
AirSim - Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
simulator - A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
openpilot - openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for 250+ supported car makes and models.
apollo - An open autonomous driving platform
webots - Webots Robot Simulator
ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
tensorflow - An Open Source Machine Learning Framework for Everyone
dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
rlcard - Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
deepdrive - Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving