rlcode / reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
☆3,481Updated last year
Alternatives and similar repositories for reinforcement-learning:
Users that are interested in reinforcement-learning are comparing it to the libraries listed below
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,949Updated last year
- TensorFlow implementation of Deep Reinforcement Learning papers☆1,588Updated 6 years ago
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,253Updated 6 years ago
- Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning☆2,517Updated 5 years ago
- A list of recent papers regarding deep reinforcement learning☆2,185Updated 8 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,278Updated 11 months ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,079Updated 3 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,309Updated 7 months ago
- Repo for the Deep Reinforcement Learning Nanodegree program☆5,009Updated last year
- Assignments for CS294-112.☆1,585Updated last year
- Deep Reinforcement Learning for Keras.☆5,541Updated last year
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,344Updated 2 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,427Updated 2 years ago
- Reinforcement learning resources curated☆9,017Updated last year
- A toolkit for reproducible reinforcement learning research.☆1,943Updated last year
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,106Updated 7 years ago
- Python Implementation of Reinforcement Learning: An Introduction☆13,932Updated 7 months ago
- A Platform for Many-Agent Reinforcement Learning☆1,717Updated 2 years ago
- For deep RL and the future of AI.☆1,450Updated last year
- Minimal Deep Q Learning (DQN & DDQN) implementations in Keras☆1,297Updated 4 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,239Updated 2 years ago
- TensorFlow Reinforcement Learning☆3,136Updated 2 years ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,323Updated 9 months ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,060Updated 3 years ago
- An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.☆1,130Updated last year
- Reinforcement Learning in PyTorch☆2,245Updated 4 years ago
- Collection of reinforcement learning algorithms☆2,622Updated 9 months ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,273Updated last month
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆2,988Updated last year
- Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning☆4,289Updated 4 years ago