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5 packages found
This is a simple framework for implementing and testing reinforcement learning environments and algorithms
- reinforcement learning
- tensorflow
- neural network
- tensorflowJS
- javascript
- typescript
- machine learning
- games
- library
- AI
- DQN
- Monte Carlo
- Q-Learning
published version 0.6.20, a year ago
Maintenance: 33%. Quality: 41%. Popularity: 3%.
A collection of various reinforcement learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.
- reinforce
- reinforcement
- deep learning
- reinforcement learning
- ai
- artificial intelligence
- q-learning
- deep-q-network
- dqn
- sarsa
- temporal difference
- deepmind
- deterministic policy gradients
- recurrent
- View more
published version 1.5.1, 6 years ago
Maintenance: None. Quality: 61%. Popularity: 2%.
Reinforcement learning in javascript
published version 1.0.20, 5 years ago
Maintenance: None. Quality: 51%. Popularity: 0%.
Contains Classes specific for usage in a web environment usage.
- reinforcement learning
- tensorflow
- neural network
- tensorflowJS
- javascript
- typescript
- machine learning
- games
- library
- AI
- DQN
- Monte Carlo
- Q-Learning
- web
published version 0.6.16, a year ago
Maintenance: 10%. Quality: 32%. Popularity: 0%.
Contains Classes specific for usage in a node environment.
- reinforcement learning
- tensorflow
- neural network
- tensorflowJS
- javascript
- typescript
- machine learning
- games
- library
- AI
- DQN
- Monte Carlo
- Q-Learning
- node
published version 0.6.15, a year ago
Maintenance: 8%. Quality: 32%. Popularity: 0%.