Project Name	Stars	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Rliable	588	5	a year ago	9	June 22, 2022	1	apache-2.0	Jupyter Notebook
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
Genrl	375		2 years ago	4	March 31, 2020	52	mit	Python
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
Bark	265	1	5 months ago	48	April 10, 2022	14	mit	C++
Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving
Marl Eval	25		6 months ago			3	apache-2.0	Python
A tool for aggregating and plotting MARL experiment data.
Mdp Playground	18		a year ago			3	apache-2.0	Python
A python package to design and debug RL agents.
Mushroom Rl Benchmark	14		8 months ago			1	mit	Python
Benchmarking suite for MushroomRL Deep RL algorithms
Kpirl Kla	7		2 years ago				mit	MATLAB
This repository contains two new algorithms: KPIRL and KLA. KPIRL is a non-linear extension to Abbeel and Ng's Projection IRL algorithm (detailed in "Apprenticeship Learning via Inverse Reinforcement Learning"). KLA is an approximate RL algorithm designed to be used with KPIRL in large state-action spaces without any reward shaping. The algorithms have been published in "Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning."

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Rliable ⭐ 588

[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

dependent packages 5total releases 9most recent commit a year ago

Genrl ⭐ 375

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

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Marl Eval ⭐ 25

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Mdp Playground ⭐ 18

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Mushroom Rl Benchmark ⭐ 14

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Kpirl Kla ⭐ 7

This repository contains two new algorithms: KPIRL and KLA. KPIRL is a non-linear extension to Abbeel and Ng's Projection IRL algorithm (detailed in "Apprenticeship Learning via Inverse Reinforcement Learning"). KLA is an approximate RL algorithm designed to be used with KPIRL in large state-action spaces without any reward shaping. The algorithms have been published in "Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning."

most recent commit 2 years ago

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