About

An open-source toolkit from OpenAI that implements several Reinforcement Learning benchmarks including: classic control, Atari, Robotics and MuJoCo tasks.

(Description by Evolutionary learning of interpretable decision trees)

(Image Credit: OpenAI Gym)

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Subtasks

Datasets

Greatest papers with code

Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

1 Oct 2019google/trax

In this paper, we aim to develop a simple and scalable reinforcement learning algorithm that uses standard supervised learning methods as subroutines.

CONTINUOUS CONTROL OPENAI GYM

Addressing Function Approximation Error in Actor-Critic Methods

ICML 2018 hill-a/stable-baselines

In value-based reinforcement learning methods such as deep Q-learning, function approximation errors are known to lead to overestimated value estimates and suboptimal policies.

OPENAI GYM Q-LEARNING

SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning

28 Dec 2019kengz/SLM-Lab

We introduce SLM Lab, a software framework for reproducible reinforcement learning (RL) research.

ATARI GAMES OPENAI GYM

BindsNET: A machine learning-oriented spiking neural networks library in Python

4 Jun 2018Hananel-Hazan/bindsnet

In this paper, we describe a new Python package for the simulation of spiking neural networks, specifically geared towards machine learning and reinforcement learning.

OPENAI GYM

TorchBeast: A PyTorch Platform for Distributed RL

8 Oct 2019facebookresearch/torchbeast

TorchBeast is a platform for reinforcement learning (RL) research in PyTorch.

OPENAI GYM

Deep Recurrent Q-Learning for Partially Observable MDPs

23 Jul 2015marload/DeepRL-TensorFlow2

Deep Reinforcement Learning has yielded proficient controllers for complex tasks.

ATARI GAMES OPENAI GYM Q-LEARNING

Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking

15 Nov 2020fabiopardo/tonic

Deep reinforcement learning has been one of the fastest growing fields of machine learning over the past years and numerous libraries have been open sourced to support research.

CONTINUOUS CONTROL OPENAI GYM

Reinforcement Learning with Augmented Data

NeurIPS 2020 MishaLaskin/rad

To this end, we present Reinforcement Learning with Augmented Data (RAD), a simple plug-and-play module that can enhance most RL algorithms.

DATA AUGMENTATION OPENAI GYM

Deep Reinforcement Learning with Feedback-based Exploration

14 Mar 2019pemami4911/deep-rl

We employ binary corrective feedback as a general and intuitive manner to incorporate human intuition and domain knowledge in model-free machine learning.

CONTINUOUS CONTROL OPENAI GYM

gym-gazebo2, a toolkit for reinforcement learning using ROS 2 and Gazebo

14 Mar 2019AcutronicRobotics/gym-gazebo2

This paper presents an upgraded, real world application oriented version of gym-gazebo, the Robot Operating System (ROS) and Gazebo based Reinforcement Learning (RL) toolkit, which complies with OpenAI Gym.

OPENAI GYM TRANSFER REINFORCEMENT LEARNING