DRL-robot-navigation VS drl_grasping

Compare DRL-robot-navigation vs drl_grasping and see what are their differences.

DRL-robot-navigation

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles. (by reiniscimurs)
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DRL-robot-navigation drl_grasping
1 4
440 326
- -
2.1 0.0
9 months ago over 1 year ago
Python Python
MIT License BSD 3-clause "New" or "Revised" License
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.

DRL-robot-navigation

Posts with mentions or reviews of DRL-robot-navigation. We have used some of these posts to build our list of alternatives and similar projects.

drl_grasping

Posts with mentions or reviews of drl_grasping. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing DRL-robot-navigation and drl_grasping you can also consider the following projects:

rlalgorithms-tf2 - Packaged deep reinforcement learning algorithms in tensorflow 2.x

pytorch-blender - :sweat_drops: Seamless, distributed, real-time integration of Blender into PyTorch data pipelines

cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

robo-gym - An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.

machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

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).

habitat-lab - A modular high-level library to train embodied AI agents across a variety of tasks and environments.

gym-pybullet-drones - PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

rlcard - Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

lodtree - A simple rust library to help create octrees and quadtrees for chunked level of detail

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