Investigating Generalisation in Continuous Deep Reinforcement Learning

Investigating Generalisation in Continuous Deep Reinforcement Learning

19 February 2019

Timothy M. Hospedales

Papers citing "Investigating Generalisation in Continuous Deep Reinforcement Learning"

10 / 10 papers shown

Title
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? Kaylee Burns Zach Witzel Jubayer Ibn Hamid Tianhe Yu Chelsea Finn Karol Hausman OOD SSL 32 23 0 03 Nov 2023
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow Dongkun Zhang Jintao Xue Yuxiang Cui Yunkai Wang Eryun Liu Wei Jing Junbo Chen R. Xiong Yue Wang 41 0 0 25 Apr 2023
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body A. Chiappa Alessandro Marin Vargas Alexander Mathis 34 7 0 28 Sep 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning Marcus Klasson Hedvig Kjellström Chen Zhang CLL 24 9 0 18 Sep 2022
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning David Bertoin Adil Zouitine Mehdi Zouitine Emmanuel Rachelson 36 30 0 16 Sep 2022
LISPR: An Options Framework for Policy Reuse with Reinforcement Learning D. Graves Jun Jin Jun Luo 38 2 0 29 Dec 2020
Discount Factor as a Regularizer in Reinforcement Learning Ron Amit Ron Meir K. Ciosek OffRL 22 71 0 04 Jul 2020
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning Maximilian Igl Gregory Farquhar Jelena Luketina Wendelin Boehmer Shimon Whiteson 27 84 0 10 Jun 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 58 1,935 0 11 Apr 2020
Wasserstein Robust Reinforcement Learning Mohammed Abdullah Hang Ren Haitham Bou-Ammar Vladimir Milenkovic Rui Luo Mingtian Zhang Jun Wang 32 75 0 30 Jul 2019