ppo-implementation-details
The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization (by vwxyzjn)
incubator
Collection of in-progress libraries for entity neural networks. (by entity-neural-network)
| ppo-implementation-details | incubator | |
|---|---|---|
| 18 | 1 | |
| 561 | 27 | |
| - | - | |
| 0.0 | 0.0 | |
| about 2 months ago | almost 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | 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.
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.
ppo-implementation-details
Posts with mentions or reviews of ppo-implementation-details.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-11.
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low reward oscillations in PPO
Follow this for stable training in PPO: https://iclr-blog-track.github.io/2022/03/25/ppo-implementation-details/
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PPO-clip: Computing gradient WITHOUT auto differentiation library, help please?
I am using this as implementation reference.
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My PPO Algorithm is not learning, why?
I'm relying on this page/code, and getting some ideas from others like this, and trying to learn PyTorch along the way.
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Overall loss in PPO, why does it matter?
I am using as base code the Phils Tabor Implementation and this site (and sometimes OpenAi repository), but I can't figure out how tensorflow/PyTorch knows which loss belongs to whom. When the loss is split, you create two separate tape.Gradient, but when overall loss is used, how can the model understand which part propagates and which doesn't?
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What RL library supports custom LSTM and Transformer neural networks to use with algorithms such as PPO?
I am still working on it, but I used the ppo implementation of https://github.com/vwxyzjn/ppo-implementation-details and modifiy it. Fir transformer, i just implement with pytorch.
- My agent seems to be learning but not on a stable way
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trying to reproduce baselines PPO2 atari breakout
yes I did read https://iclr-blog-track.github.io/2022/03/25/ppo-implementation-details/
- Noob question: why is this trivial problem not accordingly trivial to train? (PPO)
- Are there papers that do an empirical investigation on DRL hyperparameters?
- Understanding the effect of certain PPO hyperparameters on overall performance
incubator
Posts with mentions or reviews of incubator.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-25.
-
ICLR 2022 Blog Post: The 37 Implementation Details of Proximal Policy Optimization
Yes but that may requires quite a bit of modification. See https://github.com/entity-neural-network/incubator as an example.
What are some alternatives?
When comparing ppo-implementation-details and incubator you can also consider the following projects:
baselines - OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Youtube-Code-Repository - Repository for most of the code from my YouTube channel
recurrent-ppo-truncated-bptt - Baseline implementation of recurrent PPO using truncated BPTT
pyagents - Just our DRL playground.
popgym - Partially Observable Process Gym
episodic-transformer-memory-ppo - Clean baseline implementation of PPO using an episodic TransformerXL memory
Reinforcement-Learning-Algorithms
ppo-implementation-details vs baselines
ppo-implementation-details vs Youtube-Code-Repository
ppo-implementation-details vs recurrent-ppo-truncated-bptt
ppo-implementation-details vs pyagents
ppo-implementation-details vs popgym
ppo-implementation-details vs episodic-transformer-memory-ppo
ppo-implementation-details vs Reinforcement-Learning-Algorithms