episodic-transformer-memory-ppo
Clean baseline implementation of PPO using an episodic TransformerXL memory (by MarcoMeter)
ppo-implementation-details
The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization (by vwxyzjn)
| episodic-transformer-memory-ppo | ppo-implementation-details | |
|---|---|---|
| 5 | 18 | |
| 111 | 561 | |
| - | - | |
| 2.5 | 0.0 | |
| 5 days ago | about 2 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
episodic-transformer-memory-ppo
Posts with mentions or reviews of episodic-transformer-memory-ppo.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-17.
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Question about Transformer model input in RL
Check out this implementation https://github.com/MarcoMeter/episodic-transformer-memory-ppo
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Using transformers in RL?
Maybe this easy-to-follow baseline implementation of PPO + TransformerXL is an inspiration for you.
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What RL library supports custom LSTM and Transformer neural networks to use with algorithms such as PPO?
I provide baseline implementations on TransformerXL + PPO and LSTM/GRU + PPO. These are designed to be slim and easy-to-follow so that you can advance those implementations to the features and toolset that you need.
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Trained a Transformer Decoder architecture with PPO, best way to maximize the entropy?
You can also checkout my baseline implementation of PPO + TrXL.
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TransformerXL + PPO Baseline + MemoryGym
We finally completed a lightweight implementation of a memory-based agent using PPO and TransformerXL (and Gated TransformerXL).
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
What are some alternatives?
When comparing episodic-transformer-memory-ppo and ppo-implementation-details you can also consider the following projects:
godot_rl_agents - An Open Source package that allows video game creators, AI researchers and hobbyists the opportunity to learn complex behaviors for their Non Player Characters or agents
baselines - OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Gymnasium - An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Youtube-Code-Repository - Repository for most of the code from my YouTube channel
popgym - Partially Observable Process Gym
recurrent-ppo-truncated-bptt - Baseline implementation of recurrent PPO using truncated BPTT
incubator - Collection of in-progress libraries for entity neural networks.
brain-agent - Brain Agent for Large-Scale and Multi-Task Agent Learning
pyagents - Just our DRL playground.
rl8 - A high throughput, end-to-end RL library for infinite horizon tasks.
episodic-transformer-memory-ppo vs godot_rl_agents
ppo-implementation-details vs baselines
episodic-transformer-memory-ppo vs Gymnasium
ppo-implementation-details vs Youtube-Code-Repository
episodic-transformer-memory-ppo vs popgym
ppo-implementation-details vs recurrent-ppo-truncated-bptt
episodic-transformer-memory-ppo vs recurrent-ppo-truncated-bptt
ppo-implementation-details vs incubator
episodic-transformer-memory-ppo vs brain-agent
ppo-implementation-details vs pyagents
episodic-transformer-memory-ppo vs rl8
ppo-implementation-details vs popgym