LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion

Muscle contributions to propulsion and support during running

Samuel R. Hamner, Ajay Seth, and Scott L. Delp · 2010

Earlier work this paper cites.

OpenAI Gym, 2016

Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, and Wojciech Zaremba · 2016

Earlier work this paper cites.

Generative adversarial imitation learning

Jonathan Ho and Stefano Ermon · 2016

Earlier work this paper cites.

Deepmimic: Example-guided deep reinforcement learning of physics-based character skills

Xue Bin Peng, Pieter Abbeel, Sergey Levine, and Michiel van de Panne · 2018

Earlier work this paper cites.

Learning complex dexterous manipulation with deep reinforcement learning and demonstrations

Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, Giulia Vezzani, John Schulman, Emanuel Todorov, and Sergey Levine · 2018

Earlier work this paper cites.

Relay policy learning: Solving long-horizon tasks via imitation and reinforcement learning

Abhishek Gupta, Vikash Kumar, Corey lynch, Sergey Levine, and karol Hausman · 2019

Earlier work this paper cites.

Simitate: A hybrid imitation learning benchmark

Raphael Memmesheimer, Ivanna Kramer, Viktor Seib, and Dietrich Paulus · 2019

Earlier work this paper cites.

Variational discriminator bottleneck: Improving imitation learning, inverse rl, and gans by constraining information flow

Xue Bin Peng, Angjoo Kanazawa, Sam Toyer, Pieter Abbeel, and Sergey Levine · 2019

Earlier work this paper cites.

Generative adversarial imitation from observation

Faraz Torabi, Garrett Warnell, and Peter Stone · 2019

Earlier work this paper cites.

Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning

Tianhe Yu, Deirdre Quillen, Zhanpeng He, Ryan Julian, Karol Hausman, Chelsea Finn, and Sergey Levine · 2019

Cited alongside, same era.

D4rl: Datasets for deep data-driven reinforcement learning, 2020

Justin Fu, Aviral Kumar, Ofir Nachum, George Tucker, and Sergey Levine · 2020

Cited alongside, same era.

Sqil: Imitation learning via reinforcement learning with sparse rewards

Siddharth Reddy, Anca D. Dragan, and Sergey Levine · 2020

Cited alongside, same era.

dm_control: Software and tasks for continuous control

Saran Tunyasuvunakool, Alistair Muldal, Yotam Doron, Siqi Liu, Steven Bohez, Josh Merel, Tom Erez, Timothy Lillicrap, Nicolas Heess, and Yuval Tassa · 2020

Cited alongside, same era.

robosuite: A modular simulation framework and benchmark for robot learning

Original

Yuke Zhu, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín, Abhishek Joshi, Soroush Nasiriany, and Yifeng Zhu · 2020

Cited alongside, same era.

The mechanisms and mechanical energy of human gait initiation from the lower-limb joint level perspective

Guoping Zhao, Martin Grimmer, and Andre Seyfarth · 2021

Later among the works it cites.

Myosuite: A contact-rich simulation suite for musculoskeletal motor control

Vittorio Caggiano, Huawei Wang, Guillaume Durandau, Massimo Sartori, and Vikash Kumar · 2022

Later among the works it cites.

MuJoCo Menagerie: A collection of high-quality simulation models for MuJoCo, 2022

MuJoCo Menagerie Contributors · 2022

Later among the works it cites.

Rlbench: The robot learning benchmark & learning environment

Stephen James, Zicong Ma, David Rovick Arrojo, and Andrew J. Davison · 2022

Later among the works it cites.

LS-IQ: Implicit reward regularization for inverse reinforcement learning

Firas Al-Hafez, Davide Tateo, Oleg Arenz, Guoping Zhao, and Jan Peters · 2023

Closest in time.