PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm
This repository is for the implementation of Constrained Soft Actor Critic SAC with lagrange multiplier in PyTorch.
To train the model in the repository, run this command:
python SACLagrangian.py
Hello, Dr.Haydari. I am an undergraduate student engaging in safe RL, and I also tried to implement CSAC/SAC-Lagrangian in pytorch.
I was wondering :
① if it is necessary to apply extra critic networks for 'safety Q value', does it has better performance than constructing actor loss by the cost from off-policy data?
②Have you ploted the lambda training curve? I experienced a monotonic training curve, which is just raise (positve loss) or decend (negative loss), I have noticed that some paper adjust the gradient ascent with max(0, lambda)
I would appreciate it if you could help me.
Hello, Dr.Haydari. I am a beginner in constraint RL. Through reading your code, I found you discrete the action. Can you tell me the reason? Thanks!
Hello! Dear author!
I would like to know how to determine the hyperparameters of this algorithm as follows.
LAM_INITIAL = 10.0
UPDATE_INTERVAL = 12
self.cost_lim = -5e-4
Thank you !!!
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.