vmayoral / basic_reinforcement_learningLinks
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
☆1,164Updated last year
Alternatives and similar repositories for basic_reinforcement_learning
Users that are interested in basic_reinforcement_learning are comparing it to the libraries listed below
Sorting:
- Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version☆840Updated 6 years ago
- For deep RL and the future of AI.☆1,468Updated last year
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,973Updated 2 years ago
- Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.☆819Updated 3 years ago
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,251Updated 6 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,314Updated last year
- Minimal and Clean Reinforcement Learning Examples☆3,542Updated 2 years ago
- Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog☆620Updated 2 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,110Updated 7 years ago
- Minimal Deep Q Learning (DQN & DDQN) implementations in Keras☆1,306Updated 4 years ago
- Collection of reinforcement learning algorithms☆2,709Updated last year
- TensorFlow implementation of Deep Reinforcement Learning papers☆1,586Updated 7 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,080Updated 4 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,439Updated 2 years ago
- A list of recent papers regarding deep reinforcement learning☆2,196Updated 9 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,348Updated 2 years ago
- Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow☆855Updated 4 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,181Updated 2 years ago
- Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow☆562Updated 3 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,630Updated 3 years ago
- Assignments for CS294-112.☆1,598Updated 2 years ago
- A list of papers and resources dedicated to deep reinforcement learning☆832Updated 9 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆680Updated 4 years ago
- S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics☆638Updated 4 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,112Updated 3 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,286Updated 4 months ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,280Updated 5 years ago
- Implementation of TRPO and related algorithms☆632Updated 7 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,310Updated last year
- Implementations of selected inverse reinforcement learning algorithms.☆1,026Updated 2 years ago