tensorflow / agentsLinks
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
☆2,980Updated last week
Alternatives and similar repositories for agents
Users that are interested in agents are comparing it to the libraries listed below
Sorting:
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,313Updated last year
- A library of reinforcement learning components and agents☆3,872Updated 2 weeks ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,315Updated 3 years ago
- TensorFlow Reinforcement Learning☆3,135Updated 3 years ago
- A toolkit for reproducible reinforcement learning research.☆2,056Updated 2 years ago
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,677Updated last week
- 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".☆1,323Updated this week
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,529Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,191Updated 3 years ago
- Deep Reinforcement Learning for Keras.☆5,557Updated 2 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,387Updated last year
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,033Updated 2 years ago
- MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.☆3,097Updated 2 years ago
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,369Updated 2 weeks ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,660Updated 3 years ago
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,267Updated 6 years ago
- Collection of reinforcement learning algorithms☆2,833Updated last year
- A Platform for Many-Agent Reinforcement Learning☆1,754Updated 3 years ago
- The Arcade Learning Environment (ALE) -- a platform for AI research.☆2,371Updated this week
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,381Updated 2 years ago
- ChainerRL is a deep reinforcement learning library built on top of Chainer.☆1,200Updated 4 years ago
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆837Updated 3 years ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,120Updated 2 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,863Updated 3 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,375Updated this week
- OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.☆4,887Updated last week
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,235Updated 3 weeks ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,512Updated last year
- Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research☆757Updated last week