DRL-robot-navigation VS machin

Compare DRL-robot-navigation vs machin 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)

machin

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ... (by iffiX)
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DRL-robot-navigation machin
1 2
440 389
- -
2.1 1.8
9 months ago over 2 years ago
Python Python
MIT License MIT 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.

machin

Posts with mentions or reviews of machin. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-30.

What are some alternatives?

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

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

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

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)

Apache Impala - Apache 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).

RL-Adventure - Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

tianshou - An elegant PyTorch deep reinforcement learning library.

ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥

seed_rl - SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

dcss-ai-wrapper - An API for Dungeon Crawl Stone Soup for Artificial Intelligence research.