tensorforce
Tensorforce: a TensorFlow library for applied reinforcement learning (by tensorforce)
deepdrive
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving (by deepdrive)
| tensorforce | deepdrive | |
|---|---|---|
| 1 | 1 | |
| 3,283 | 873 | |
| 0.2% | 0.2% | |
| 3.0 | 0.0 | |
| 27 days ago | 7 months ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
tensorforce
Posts with mentions or reviews of tensorforce.
We have used some of these posts to build our list of alternatives
and similar projects.
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Advice on doing RL for Settlers of Catan?
The most promising approach has been using the TensorForce framework (https://github.com/tensorforce/tensorforce) with a custom environment that represents a simpler game (1v1 against a bot that chooses actions randomly, no trading between players, and fixing discarding to be done automatically and at random).
deepdrive
Posts with mentions or reviews of deepdrive.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-01.
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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.
What are some alternatives?
When comparing tensorforce and deepdrive you can also consider the following projects:
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).
carla - Open-source simulator for autonomous driving research.