IntelLabs / coach
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
☆2,333Updated 2 years ago
Alternatives and similar repositories for coach:
Users that are interested in coach are comparing it to the libraries listed below
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,928Updated last year
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,298Updated 5 months ago
- Reinforcement Learning in PyTorch☆2,241Updated 4 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,599Updated 3 years ago
- ChainerRL is a deep reinforcement learning library built on top of Chainer.☆1,177Updated 3 years ago
- TensorFlow Reinforcement Learning☆3,138Updated 2 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,238Updated 9 months ago
- Collection of reinforcement learning algorithms☆2,560Updated 7 months ago
- A toolkit for reproducible reinforcement learning research.☆1,904Updated last year
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,659Updated 2 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,262Updated 2 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,706Updated 2 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,421Updated 2 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,514Updated 9 months ago
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,245Updated 5 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,197Updated 2 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,105Updated 7 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,145Updated 2 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,057Updated 3 years ago
- A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)☆3,579Updated last week
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆994Updated 5 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆966Updated 6 years ago
- TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.☆2,839Updated this week
- Deep Reinforcement Learning for Keras.☆5,532Updated last year
- Minimal and Clean Reinforcement Learning Examples☆3,444Updated last year
- TensorFlow implementation of Deep Reinforcement Learning papers☆1,590Updated 6 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,254Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,055Updated 3 years ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,580Updated 5 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆659Updated 4 years ago