policy-adaptation-during-deployment VS deepdrive

Compare policy-adaptation-during-deployment vs deepdrive and see what are their differences.

policy-adaptation-during-deployment

Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper. (by nicklashansen)
reinforcement-learning deep-reinforcement-learning Pytorch dm-control mujoco Gym Deep Learning Robotics self-supervised-learning
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deepdrive

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving (by deepdrive)
self-driving-car Tensorflow reinforcement-learning unreal-engine Simulation Deep Learning Python Gym deep-reinforcement-learning sensorimotor competition Vision Control transfer-learning
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deepdrive.io
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policy-adaptation-during-deployment deepdrive
1 1
109 873
- 0.2%
1.8 0.0
over 3 years ago 7 months ago
Python Python
- GNU General Public License v3.0 or later
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policy-adaptation-during-deployment

Posts with mentions or reviews of policy-adaptation-during-deployment. We have used some of these posts to build our list of alternatives and similar projects.

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.
  • Is it possible to train a self driving car on google colab?
    4 projects | /r/reinforcementlearning | 1 Sep 2021
    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 policy-adaptation-during-deployment and deepdrive you can also consider the following projects:

Ne2Ne-Image-Denoising - Deep Unsupervised Image Denoising, based on Neighbour2Neighbour training

carla - Open-source simulator for autonomous driving research.

envpool - C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

simulator - A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

AirSim - Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

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).

Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees

tensorforce - Tensorforce: a TensorFlow library for applied reinforcement learning

dmc2gymnasium - Gymnasium integration for the DeepMind Control (DMC) suite

simglucose - A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose

policy-adaptation-during-deployment vs Ne2Ne-Image-Denoising deepdrive vs carla policy-adaptation-during-deployment vs envpool deepdrive vs simulator policy-adaptation-during-deployment vs stable-baselines3 deepdrive vs AirSim policy-adaptation-during-deployment vs pytorch-a2c-ppo-acktr-gail deepdrive vs Super-mario-bros-PPO-pytorch policy-adaptation-during-deployment vs drl_grasping deepdrive vs tensorforce policy-adaptation-during-deployment vs dmc2gymnasium deepdrive vs simglucose