Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning

Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning

24 May 2025

Papers citing "Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning"

15 / 65 papers shown

Title
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 139 565 0 19 Feb 2020
Federated Learning with Personalization Layers Manoj Ghuhan Arivazhagan V. Aggarwal Aaditya Kumar Singh Sunav Choudhary FedML 64 826 0 02 Dec 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Guanghang Cai Natalia Díaz Rodríguez David Filliat OffRL 45 61 0 11 Jul 2019
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Natalia Díaz Rodríguez David Filliat CLL OffRL 91 45 0 11 Jun 2019
Unbiased Multilevel Monte Carlo: Stochastic Optimization, Steady-state Simulation, Quantiles, and Other Applications Jose H. Blanchet Peter Glynn Yanan Pei 28 29 0 22 Apr 2019
Active Domain Randomization Bhairav Mehta Manfred Diaz Florian Golemo C. Pal Liam Paull 38 262 0 09 Apr 2019
How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies? Q. Vuong Sharad Vikram H. Su Sicun Gao Henrik I. Christensen OOD 32 48 0 28 Mar 2019
Action Robust Reinforcement Learning and Applications in Continuous Control Chen Tessler Yonathan Efroni Shie Mannor 44 232 0 26 Jan 2019
Markov Decision Processes with Continuous Side Information Aditya Modi Nan Jiang Satinder Singh Ambuj Tewari OffRL 39 61 0 15 Nov 2017
Distral: Robust Multitask Reinforcement Learning Yee Whye Teh V. Bapst Wojciech M. Czarnecki John Quan J. Kirkpatrick R. Hadsell N. Heess Razvan Pascanu 118 551 0 13 Jul 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 171 2,948 0 20 Mar 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 229 17,328 0 17 Feb 2016
Policy Distillation Andrei A. Rusu Sergio Gomez Colmenarejo Çağlar Gülçehre Guillaume Desjardins J. Kirkpatrick Razvan Pascanu Volodymyr Mnih Koray Kavukcuoglu R. Hadsell 48 687 0 19 Nov 2015
Contextual Markov Decision Processes Assaf Hallak Dotan Di Castro Shie Mannor 68 243 0 08 Feb 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 98 12,163 0 19 Dec 2013