TorchRL: A data-driven decision-making library for PyTorch

TorchRL: A data-driven decision-making library for PyTorch

1 June 2023

Sebastian Dittert

Vikash Kumar

Gianni De Fabritiis

Papers citing "TorchRL: A data-driven decision-making library for PyTorch"

11 / 11 papers shown

Title
Reinforcement learning with combinatorial actions for coupled restless bandits Lily Xu Bryan Wilder Elias B. Khalil Milind Tambe 72 1 0 01 Mar 2025
CREW: Facilitating Human-AI Teaming Research Lingyu Zhang Zhengran Ji Boyuan Chen 44 3 0 03 Jan 2025
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti Carl Henrik Ek Amanda Prorok 42 0 0 07 Oct 2024
AExGym: Benchmarks and Environments for Adaptive Experimentation Jimmy Wang Ethan Che Daniel R. Jiang Hongseok Namkoong 37 0 0 08 Aug 2024
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning Matteo Bettini Amanda Prorok Vincent Moens OffRL 36 15 0 03 Dec 2023
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control Botian Xu Feng Gao Chao Yu Chao Yu Yi Wu Yu Wang 36 28 0 22 Sep 2023
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 843 0 12 Oct 2021
Deep Exploration for Recommendation Systems Zheqing Zhu Benjamin Van Roy 32 11 0 26 Sep 2021
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning Nikita Rudin David Hoeller Philipp Reist Marco Hutter 115 545 0 24 Sep 2021
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles S. Aradi 210 435 0 30 Jan 2020
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016