Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation

16 December 2021

Papers citing "Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation"

6 / 6 papers shown

Title
Algorithms for Verifying Deep Neural Networks Changliu Liu Tomer Arnon Christopher Lazarus Christopher A. Strong Clark W. Barrett Mykel J. Kochenderfer AAML 86 395 0 15 Mar 2019
A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability Xiaowei Huang Daniel Kroening Wenjie Ruan Marta Kwiatkowska Youcheng Sun Emese Thamo Min Wu Xinping Yi AAML 49 51 0 18 Dec 2018
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 114 1,940 0 19 Sep 2017
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments Jingwei Zhang Jost Tobias Springenberg Joschka Boedecker Wolfram Burgard 51 295 0 16 Dec 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 188 5,056 0 05 Jun 2016
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 210 3,781 0 18 Nov 2015