google / dopamineLinks
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
☆10,811Updated 11 months ago
Alternatives and similar repositories for dopamine
Users that are interested in dopamine are comparing it to the libraries listed below
Sorting:
- TensorFlow Reinforcement Learning☆3,135Updated 2 years ago
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,666Updated last week
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,506Updated last year
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,314Updated last year
- Deep Reinforcement Learning for Keras.☆5,556Updated 2 years ago
- TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.☆2,963Updated 4 months ago
- Fast and flexible AutoML with learning guarantees.☆3,459Updated last year
- A toolkit for developing and comparing reinforcement learning algorithms.☆36,707Updated last year
- TensorFlow-based neural network library☆9,892Updated 2 months ago
- An educational resource to help anyone learn deep reinforcement learning.☆11,325Updated last year
- Deep Learning and Reinforcement Learning Library for Scientists and Engineers☆7,373Updated 2 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,349Updated 2 years ago
- AutoML library for deep learning☆9,279Updated 10 months ago
- Repo for the Deep Reinforcement Learning Nanodegree program☆5,107Updated last year
- A library of reinforcement learning components and agents☆3,819Updated last month
- A customisable 3D platform for agent-based AI research☆7,264Updated 2 years ago
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,259Updated 6 years ago
- Minimal and Clean Reinforcement Learning Examples☆3,588Updated 2 years ago
- A natural language modeling framework based on PyTorch☆6,318Updated 3 years ago
- Retro Games in Gym