Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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Updated
May 6, 2024 - Jupyter Notebook
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
An elegant PyTorch deep reinforcement learning library.
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
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 modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
A curated list of applied machine learning and data science notebooks and libraries across different industries.
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
How to create a challenge on EvalAI?
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
Python library for Reinforcement Learning.
AI Research Platform for Reinforcement Learning from Real Panoramic Images.
An environment to high-frequency trading agents under reinforcement learning
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
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