Policy Distillation

19 November 2015

Andrei A. Rusu

Sergio Gomez Colmenarejo

Papers citing "Policy Distillation"

20 / 20 papers shown

Title
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning Chi Zhang Ziying Jia George Atia Sihong He Yue Wang 51 0 0 24 May 2025
Multi-CALF: A Policy Combination Approach with Statistical Guarantees Georgiy Malaniya Anton Bolychev Grigory Yaremenko Anastasia Krasnaya Pavel Osinenko 53 0 0 18 May 2025
Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Lucía Güitta-López Jaime Boal Álvaro J. López-López 76 5 0 24 Jan 2025
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey Nikolaos Pippas Cagatay Turkay Elliot A. Ludvig AIFin 132 3 0 20 Aug 2024
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion Achref Jaziri Etienne Kunzel Visvanathan Ramesh CLL 73 0 0 19 Aug 2024
TacSL: A Library for Visuotactile Sensor Simulation and Learning Iretiayo Akinola Jie Xu Jan Carius Dieter Fox Yashraj S. Narang 53 7 0 12 Aug 2024
Multi-fidelity Neural Architecture Search with Knowledge Distillation I. Trofimov Nikita Klyuchnikov Mikhail Salnikov Alexander N. Filippov Evgeny Burnaev 46 15 0 15 Jun 2020
Collaborative Deep Reinforcement Learning Kaixiang Lin Shu Wang Jiayu Zhou 42 21 0 19 Feb 2017
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates S. Gu E. Holly Timothy Lillicrap Sergey Levine OffRL SSL 96 1,477 0 03 Oct 2016
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 131 7,590 0 22 Sep 2015
Massively Parallel Methods for Deep Reinforcement Learning Arun Nair Praveen Srinivasan Sam Blackwell Cagdas Alcicek Rory Fearon ... Stig Petersen Shane Legg Volodymyr Mnih Koray Kavukcuoglu David Silver OffRL AI4CE GNN 70 504 0 15 Jul 2015
Knowledge Transfer Pre-training Zhiyuan Tang Dong Wang Yiqiao Pan Zhiyong Zhang 24 17 0 07 Jun 2015
Recurrent Neural Network Training with Dark Knowledge Transfer Zhiyuan Tang Dong Wang Zhiyong Zhang 42 109 0 18 May 2015
Transferring Knowledge from a RNN to a DNN William Chan Nan Rosemary Ke Ian Lane 30 75 0 07 Apr 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 236 19,523 0 09 Mar 2015
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 236 3,862 0 19 Dec 2014
SelfieBoost: A Boosting Algorithm for Deep Learning Shai Shalev-Shwartz FedML 45 17 0 13 Nov 2014
Do Deep Nets Really Need to be Deep? Lei Jimmy Ba R. Caruana 148 2,114 0 21 Dec 2013
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 103 12,163 0 19 Dec 2013
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 166 3,196 0 02 Nov 2010