Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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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 | ||||||||||
Safety Starter Agents | 86 | 4 years ago | 5 | mit | Python | |||||
Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper. | ||||||||||
Mushroom Rl Benchmark | 14 | 7 months ago | 1 | mit | Python | |||||
Benchmarking suite for MushroomRL Deep RL algorithms | ||||||||||
Real2sim_corl2020 | 10 | 2 years ago | Python | |||||||
Repository containing code for CoRL 2020 paper on "Learning Object Manipulation Skills via Approximate State Estimation from Real Videos" | ||||||||||
Kpirl Kla | 7 | a year 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." |