DRL-robot-navigation VS actorch

Compare DRL-robot-navigation vs actorch 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 actorch
1 2
440 12
- -
2.1 2.5
9 months ago about 1 year ago
Python Python
MIT License Apache License 2.0
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.

actorch

Posts with mentions or reviews of actorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-28.

What are some alternatives?

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

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

skrl - Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym

drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees

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

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

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).