tensorflow / agents
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
☆2,875Updated last week
Alternatives and similar repositories for agents:
Users that are interested in agents are comparing it to the libraries listed below
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,239Updated 2 years ago
- A toolkit for reproducible reinforcement learning research.☆1,943Updated last year
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,309Updated 7 months ago
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,599Updated last week
- A library of reinforcement learning components and agents☆3,618Updated 2 months ago
- Collection of reinforcement learning algorithms☆2,619Updated 9 months ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,344Updated 2 years ago
- Reinforcement Learning in PyTorch☆2,245Updated 4 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,278Updated 11 months ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,949Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,160Updated 2 years ago
- TensorFlow Reinforcement Learning☆3,136Updated 2 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,520Updated 11 months ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆2,822Updated this week
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,275Updated last year
- Simple and easily configurable grid world environments for reinforcement learning☆2,195Updated last month
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,608Updated 3 years ago
- Deep Reinforcement Learning for Keras.☆5,541Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,059Updated 3 years ago
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,253Updated 6 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,717Updated 2 years ago
- Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research☆720Updated 2 weeks ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,146Updated 7 months ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,490Updated 11 months ago
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆3,976Updated this week
- ChainerRL is a deep reinforcement learning library built on top of Chainer.☆1,185Updated 3 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,713Updated 2 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,427Updated 2 years ago
- Minimal Deep Q Learning (DQN & DDQN) implementations in Keras☆1,295Updated 4 years ago
- An educational resource to help anyone learn deep reinforcement learning.☆10,694Updated 7 months ago