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10 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
a general SARSA implementation, an A.I. tool useful for machine learning
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
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
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
A tabular implementation of the SARSA reinforcement learning algorithm which is related to Q-learning
reinforcement learning in javascript (fork supporting promises)
reinforcement learning in javascript
Library implementing the double-q-learning algorithm.
- reinforcement learning
- q-learning
- double-q-learning
- machine learning
- reinforcement
- ml
- rl
- q
- exploration
- exploitation
Library implementing the q-learning algorithm and several exploration algorithms.