chainerrl
machin
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chainerrl | machin | |
---|---|---|
3 | 2 | |
1,141 | 381 | |
1.1% | - | |
0.0 | 1.8 | |
over 2 years ago | over 2 years ago | |
Python | Python | |
MIT License | MIT License |
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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.
chainerrl
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Help with my PyTorch implementation of PPO
Code for https://arxiv.org/abs/1709.06560 found: https://github.com/chainer/chainerrl
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Any working Acer implementation for continuous action space?
I implemented my version of Acer that supports discrete action space. I need to add an extension that supports continuous action space. I've seen a couple of implementations here and here. The first doesn't work for PongNoFrameskip-v4 and the other doesn't work in macOS.
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Beginner attempting to implement Noisy DQN
I tried all the versions I found and in most of them the network couldn't even learn to set the sigma as 0 (or close). The only implementation where I actually got improvement was by changing the noise directly when calling the noisy layers in this git. I don't know if this is the correct way but it sure showed good results.
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 itβs 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?
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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
RL-Adventure - Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
tianshou - An elegant PyTorch deep reinforcement learning library.
seed_rl - SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
ElegantRL - Massively Parallel Deep Reinforcement Learning. π₯
dcss-ai-wrapper - An API for Dungeon Crawl Stone Soup for Artificial Intelligence research.
DeepRL-TensorFlow2 - π Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Deep-Reinforcement-Learning-Algorithms-with-PyTorch - PyTorch implementations of deep reinforcement learning algorithms and environments
bagua - Bagua Speeds up PyTorch
maze - Maze Applied Reinforcement Learning Framework