tensorflow / agentsLinks
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
☆2,974Updated 5 months ago
Alternatives and similar repositories for agents
Users that are interested in agents are comparing it to the libraries listed below
Sorting:
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,313Updated 3 years ago
- A library of reinforcement learning components and agents☆3,859Updated 2 months ago
- A toolkit for reproducible reinforcement learning research.☆2,050Updated 2 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,313Updated last year
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,356Updated 2 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,190Updated 3 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,385Updated last year
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,671Updated 2 weeks ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,528Updated last year
- TensorFlow Reinforcement Learning☆3,135Updated 2 years ago
- Reinforcement Learning in PyTorch☆2,270Updated 4 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,317Updated this week
- Simple and easily configurable grid world environments for reinforcement learning☆2,368Updated last week
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,028Updated 2 years ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,211Updated last week
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,346Updated 3 weeks ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,659Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,820Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,372Updated 2 years ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,109Updated 2 years ago
- MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.☆3,093Updated last year
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆835Updated 3 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,751Updated 3 years ago
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,264Updated 6 years ago
- Deep Reinforcement Learning for Keras.☆5,556Updated 2 years ago
- Hands-on Deep Reinforcement Learning, published by Packt☆3,048Updated 3 weeks ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,639Updated last month
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆2,002Updated 2 months ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,502Updated last year
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,147Updated 4 years ago