DRL-robot-navigation
machin
DRL-robot-navigation | machin | |
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1 | 2 | |
440 | 389 | |
- | - | |
2.1 | 1.8 | |
9 months ago | over 2 years ago | |
Python | Python | |
MIT License | MIT License |
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DRL-robot-navigation
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It may be a dumb question but please bare with me
That's the link of the github I'm trying to convert completely to ROS2: https://github.com/reiniscimurs/DRL-robot-navigation
machin
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Best PyTorch RL library for doing research
Machin is really nice, it is very easy to use and to try different things, although it’s developed by one person and maybe not appropriately tested yet.
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Is there a consensus about RL frameworks?
I found this repo very helpful to get started: https://github.com/iffiX/machin
What are some alternatives?
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.