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[D] What tool do you use for reinforcement learning experimentation?
6 projects | reddit.com/r/MachineLearning | 10 Aug 2022
Good evening, guys. I currently use StarCraft 2 as a tool for experimenting with my deep reinforcement learning projects, I have also used OpenAI Gym.
Launch HN: Polymath Robotics (YC S22) – General autonomy for industrial vehicles
1 project | news.ycombinator.com | 1 Aug 2022
> and focus instead on the 5-10% of the application that’s hyper specific to your industry / vehicle / customer. Just like our friends in SaaS.
Ah so the thing that actually takes 90-95% of the time? "Twillo" is no good to me if I dont integrate it properly.
I struggle to see what you've built here other than gym with a largely useless API (Come on, ML training doesn't suck because of lack of HTTP API's), sure its hyperfocused on automating vehicle but thats something that's existed for a while - atleast for drones .
Shoving sensors on random devices doesn't work that easy, you know that - I dont need a PHD to tell you that. Farmers likely aren't building prod grade ML data sets (except those SWE who gave up FAANG after making $BANK)
What's the real value prop? Why shouldn't I remake the environment in Hym and just cut you out? Gym doesn't require reems of code for environments, same as you.
[P] The Fast Deep Reinforcement Learning Course
1 project | reddit.com/r/MachineLearning | 24 Jun 2022
This course (the first in a planned multi-part series) shows how to use the Deep Reinforcement Learning framework RLlib to solve OpenAI Gym environments. I provide a big-picture overview of RL and show how to use the tools to get the job done. This approach is similar to learning Deep Learning by building and training various deep networks using a high-level framework e.g. Keras.
Is it possible to use the MuJoCo Gym environments with the new Python binding ?
1 project | reddit.com/r/reinforcementlearning | 23 May 2022
Installing & Using MuJoCo 2.1.5 with OpenAi Gym
4 projects | reddit.com/r/reinforcementlearning | 18 May 2022
We are making mujoco installation a lot easier (i.e. pip install gym[mujoco]) without all the pains with mujoco-py by adopting Deepmind’s new mujoco bindings https://github.com/openai/gym/pull/2762, but this is a work in progress…
Simulating random RGB images and observation space for RL model
1 project | reddit.com/r/reinforcementlearning | 17 May 2022
And according to the source code, the frame stack returns the most recent observations.
Changing the observation space from real valued quantities to visual obs
1 project | reddit.com/r/reinforcementlearning | 13 May 2022
I don't know if it is seamlessly compatible with this specific environment, but in general you can use the PixelObservationWrapper for this type of thing (with pixels_only=False). https://github.com/openai/gym/blob/master/gym/wrappers/pixel_observation.py
Is it possible to modify the reward function during training of an agent using OpenAI/Stable-Baselines3?
1 project | reddit.com/r/reinforcementlearning | 1 May 2022
I would recommend doing this using an environment RewardWrapper. Here you have an example https://github.com/openai/gym/blob/master/gym/wrappers/transform_reward.py
Where is env.nS for Frozen Lake in OpenAI Gym
1 project | reddit.com/r/reinforcementlearning | 15 Apr 2022
openAI gym return done==True but not seeing goal is reached
1 project | reddit.com/r/reinforcementlearning | 4 Apr 2022
What good Autonomous Driving simulators for research?
3 projects | reddit.com/r/SelfDrivingCars | 2 Aug 2022
Importing map from google maps
3 projects | reddit.com/r/ROS | 13 May 2022
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).
[D] Doing my (bachelor) thesis on RL. Which topic do you like best?
2 projects | reddit.com/r/MachineLearning | 8 Apr 2022
(3) I would suggest you use CARLA or TORCS for self-driving cars in RL as they are common test beds.
Can someone build carla RL env for centOS for me?
1 project | reddit.com/r/CentOS | 20 Feb 2022
Car simulation RL environment - Carla centOS build
1 project | reddit.com/r/reinforcementlearning | 20 Feb 2022
Link to carla
Best way to simulate and train VSLAM based robot in virtual environments?
1 project | reddit.com/r/robotics | 12 Feb 2022
There are a few ways you could go with this. A fun recent trend has been to make simulators in the unreal engine for photorealistic training. If you wanted to spend your whole project on the simulator part you could make your own environment, but I highly recommend using an open-source sim package. If you don't care too much about photorealism, you could use gazebo just fine. I've also made small visual worlds in blender, then simulated with RVIZ. Here's a good one with a focus on aerial robotics: https://theairlab.org/tartanair-dataset/ You could also give CARLA a spin for autonomous vehicles: https://carla.org/
Open-source simulator for autonomous driving research
1 project | news.ycombinator.com | 11 Feb 2022
What interesting things are people making using a game engine that's not actually a game?
1 project | reddit.com/r/gamedev | 27 Dec 2021
https://carla.org , autonomous driving stuff in unreal,
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?
3 projects | reddit.com/r/reinforcementlearning | 2 Oct 2021
8+ Reinforcement Learning Project Ideas
8 projects | dev.to | 30 Sep 2021
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 over 200 supported car makes and models.
apollo - An open autonomous driving platform
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.
webots - Webots Robot Simulator
tensorflow - An Open Source Machine Learning Framework for Everyone
apollo - 🚀 Apollo/GraphQL integration for VueJS
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
open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
pwnagotchi - (⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.