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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

Chi Zhang
Ziying Jia
George Atia
Sihong He
Yue Wang
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Papers citing "Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning"

14 / 14 papers shown
Title
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm
Miao Lu
Han Zhong
Tong Zhang
Jose H. Blanchet
OffRL
OOD
86
8
0
04 Apr 2024
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies
Michael Beukman
Devon Jarvis
Richard Klein
Steven D. James
Benjamin Rosman
47
11
0
25 Oct 2023
Understanding the Effects of RLHF on LLM Generalisation and Diversity
Understanding the Effects of RLHF on LLM Generalisation and Diversity
Robert Kirk
Ishita Mediratta
Christoforos Nalmpantis
Jelena Luketina
Eric Hambro
Edward Grefenstette
Roberta Raileanu
AI4CE
ALM
130
135
0
10 Oct 2023
An Efficient Solution to s-Rectangular Robust Markov Decision Processes
An Efficient Solution to s-Rectangular Robust Markov Decision Processes
Navdeep Kumar
Kfir Y. Levy
Kaixin Wang
Shie Mannor
41
4
0
31 Jan 2023
Policy Gradient Method For Robust Reinforcement Learning
Policy Gradient Method For Robust Reinforcement Learning
Yue Wang
Shaofeng Zou
86
73
0
15 May 2022
Federated Reinforcement Learning with Environment Heterogeneity
Federated Reinforcement Learning with Environment Heterogeneity
Hao Jin
Yang Peng
Wenhao Yang
Shusen Wang
Zhihua Zhang
72
70
0
06 Apr 2022
Sample Complexity of Robust Reinforcement Learning with a Generative Model
Sample Complexity of Robust Reinforcement Learning with a Generative Model
Kishan Panaganti
D. Kalathil
98
74
0
02 Dec 2021
Online Robust Reinforcement Learning with Model Uncertainty
Online Robust Reinforcement Learning with Model Uncertainty
Yue Wang
Shaofeng Zou
OOD
OffRL
95
102
0
29 Sep 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
277
855
0
01 Mar 2021
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
Wenshuai Zhao
Jorge Peña Queralta
Tomi Westerlund
OffRL
78
724
0
24 Sep 2020
Probabilistic Active Meta-Learning
Probabilistic Active Meta-Learning
Jean Kaddour
Steindór Sæmundsson
M. Deisenroth
46
35
0
17 Jul 2020
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
275
549
0
30 Mar 2020
Action Robust Reinforcement Learning and Applications in Continuous Control
Action Robust Reinforcement Learning and Applications in Continuous Control
Chen Tessler
Yonathan Efroni
Shie Mannor
41
232
0
26 Jan 2019
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
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
118
2,948
0
20 Mar 2017