Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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Updated
Aug 5, 2020 - Jupyter Notebook
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Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
A curated list of Monte Carlo tree search papers with implementations.
Python library for Reinforcement Learning.
Spriteworld: a flexible, configurable python-based reinforcement learning environment
Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
AI Research Platform for Reinforcement Learning from Real Panoramic Images.
DrQ: Data regularized Q
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
RAD: Reinforcement Learning with Augmented Data
An environment to high-frequency trading agents under reinforcement learning
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
A universal flight control tuning framework
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
AI research environment for the Atari 2600 games
Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
PyTorch Reinforcement Learning Library for Researchers
Code for the ACL paper "No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling"
ROS 2 enabled Machine Learning algorithms
Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track
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isQuestion() || sentence.isQuest() occurs frequently all over the place
https://github.com/opennars/opennars/search?utf8=%E2%9C%93&q=isQuestion%28%29+%7C%7C+sentence.isQuest%28%29&type=