Comments (1)
This is not a bug, the behavior is expected. LSPI automatically computes the action features from the state features. You just need to set use input_size=1, as the state vector has only one component.
Remember also that for the simple chain there is no visualization, so you have to turn off the rendering.
However, you are not supposed to use the polynomial features for finite states, as they are specifically designed for vectors of continuous state-actions.
In our framework the index of the discrete state is not meant to have a meaning, it is just a label for the state. Of course, in a chain, this label is meaningful as it represents the order in the chain.
In general, if you really want to create features for finite-state MDPs, you can just create your own class, implementing the FeaturesImplementation
(in features._implementations) interface. This will let you choose a reasonable set of features to the MDP, if you have previous information about the state distribution.
I hope this solves your issue.
from mushroom-rl.
Related Issues (20)
- Can't install package HOT 4
- suspected memory leak HOT 8
- How to train an agent in one environment and use it on another slightly different envoirnment HOT 3
- dynaq agent HOT 1
- how to reproduce DQN nature paper? HOT 7
- compress frames HOT 2
- n_steps dqn performs worse. bug? HOT 1
- support for new spaces HOT 2
- PPO for lunar lander [BUG] HOT 10
- Multi modal state support HOT 1
- Save and Load Agent for the Second Time HOT 2
- 'Taxi-v3' error: "ValueError: too many values to unpack (expected 4)" HOT 2
- TypeError: can't convert np.ndarray of type numpy.object_. The only supported types are: float64, float32, float16, complex64, complex128, int64, int32, int16, int8, uint8, and bool. HOT 2
- SAC postload optimizer for alpha HOT 2
- Unable to tun atari_dqn.py file in examples HOT 5
- Python 3.11 support HOT 2
- TypeError while running the file minigrid_dqn.py HOT 2
- Can I save pt files after training? HOT 1
- [requirements.txt] Missing requirement for OpenAI gym HOT 4
- [Categorical DQN/Rainbow] Inconsistent behavior of Categorical DQN for an even number of atoms
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 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.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
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.
from mushroom-rl.