vmayoral / basic_reinforcement_learning
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
☆1,130Updated 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
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,106Updated 7 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,060Updated 3 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
- Assignments for CS294-112.☆1,585Updated last year
- For deep RL and the future of AI.☆1,450Updated last year
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,949Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,160Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,622Updated 9 months ago
- Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow☆846Updated 4 years ago
- Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version☆838Updated 6 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,256Updated 5 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,717Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,607Updated 3 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,713Updated 2 years ago
- Minimal and Clean Reinforcement Learning Examples☆3,481Updated last year
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,177Updated 4 years ago
- Using Keras and Deep Deterministic Policy Gradient to play TORCS☆722Updated 7 years ago
- A list of papers and resources dedicated to deep reinforcement learning☆837Updated 8 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,275Updated last year
- S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics☆627Updated 3 years ago
- Implementations of selected inverse reinforcement learning algorithms.☆1,006Updated 2 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,344Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆673Updated 4 years ago
- A toolkit for reproducible reinforcement learning research.☆1,943Updated last year
- Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow☆559Updated 3 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,239Updated 2 years ago
- Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.☆798Updated 2 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,273Updated last month