tensorflow / agentsLinks
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
☆2,988Updated 3 weeks 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☆4,319Updated 3 years ago
- A toolkit for reproducible reinforcement learning research.☆2,074Updated 2 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,311Updated last year
- A library of reinforcement learning components and agents☆3,914Updated this week
- TensorFlow Reinforcement Learning☆3,135Updated 3 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,196Updated 3 years ago
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,682Updated this week
- Reinforcement Learning in PyTorch☆2,277Updated 5 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,332Updated last week
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,529Updated last year
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,399Updated last year
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,039Updated 2 years ago
- Deep Reinforcement Learning for Keras.☆5,554Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,855Updated last year
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,661Updated 4 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,394Updated last month
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,443Updated this week
- MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.☆3,109Updated 2 years ago
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆838Updated 3 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,159Updated 4 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆2,005Updated 4 months ago
- The Arcade Learning Environment (ALE) -- a platform for AI research.☆2,392Updated last month
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,400Updated 2 years ago
- Hands-on Deep Reinforcement Learning, published by Packt☆3,076Updated this week
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,273Updated 6 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,875Updated 3 years ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,540Updated last year
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,297Updated this week
- Deep Neuroevolution☆1,663Updated 2 years ago
- PFRL: a PyTorch-based deep reinforcement learning library☆1,258Updated last month