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Single Episode Policy Transfer in Reinforcement Learning

Single Episode Policy Transfer in Reinforcement Learning

17 October 2019
Jiachen Yang
Brenden K. Petersen
H. Zha
Daniel Faissol
    OOD
    OffRL
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Papers citing "Single Episode Policy Transfer in Reinforcement Learning"

19 / 19 papers shown
Title
Preparing for Black Swans: The Antifragility Imperative for Machine
  Learning
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
Ming Jin
38
2
0
18 May 2024
Generalizable Task Representation Learning for Offline
  Meta-Reinforcement Learning with Data Limitations
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations
Renzhe Zhou
Chenxiao Gao
Zongzhang Zhang
Yang Yu
OffRL
45
11
0
26 Dec 2023
State Regularized Policy Optimization on Data with Dynamics Shift
State Regularized Policy Optimization on Data with Dynamics Shift
Zhenghai Xue
Qingpeng Cai
Shuchang Liu
Dong Zheng
Peng Jiang
Kun Gai
Bo An
OffRL
28
16
0
06 Jun 2023
Human-Timescale Adaptation in an Open-Ended Task Space
Human-Timescale Adaptation in an Open-Ended Task Space
Adaptive Agent Team
Jakob Bauer
Kate Baumli
Satinder Baveja
Feryal M. P. Behbahani
...
Jakub Sygnowski
K. Tuyls
Sarah York
Alexander Zacherl
Lei Zhang
LM&Ro
OffRL
AI4CE
LRM
38
108
0
18 Jan 2023
A Relational Intervention Approach for Unsupervised Dynamics
  Generalization in Model-Based Reinforcement Learning
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning
J. Guo
Biwei Huang
Dacheng Tao
8
20
0
09 Jun 2022
Efficient Bayesian Policy Reuse with a Scalable Observation Model in
  Deep Reinforcement Learning
Efficient Bayesian Policy Reuse with a Scalable Observation Model in Deep Reinforcement Learning
Donghan Xie
Zhi Wang
Chunlin Chen
D. Dong
OffRL
14
2
0
16 Apr 2022
Behavior Self-Organization Supports Task Inference for Continual Robot
  Learning
Behavior Self-Organization Supports Task Inference for Continual Robot Learning
Muhammad Burhan Hafez
S. Wermter
CLL
SSL
21
11
0
09 Jul 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual
  Policies
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
Linxi Fan
Guanzhi Wang
De-An Huang
Zhiding Yu
Li Fei-Fei
Yuke Zhu
Anima Anandkumar
OffRL
15
62
0
17 Jun 2021
RobustNav: Towards Benchmarking Robustness in Embodied Navigation
RobustNav: Towards Benchmarking Robustness in Embodied Navigation
Prithvijit Chattopadhyay
Judy Hoffman
Roozbeh Mottaghi
Aniruddha Kembhavi
25
55
0
08 Jun 2021
Procedural Content Generation: Better Benchmarks for Transfer
  Reinforcement Learning
Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning
Matthias Muller-Brockhausen
Mike Preuss
Aske Plaat
33
9
0
31 May 2021
Improving Generalization in Meta-RL with Imaginary Tasks from Latent
  Dynamics Mixture
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture
Suyoung Lee
Sae-Young Chung
OffRL
AI4CE
13
16
0
28 May 2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning
Unsupervised Visual Attention and Invariance for Reinforcement Learning
Xudong Wang
Long Lian
Stella X. Yu
OOD
34
37
0
07 Apr 2021
Protective Policy Transfer
Protective Policy Transfer
Wenhao Yu
Chenxi Liu
Greg Turk
AAML
14
2
0
11 Dec 2020
Generalization in Reinforcement Learning by Soft Data Augmentation
Generalization in Reinforcement Learning by Soft Data Augmentation
Nicklas Hansen
Xiaolong Wang
OffRL
9
166
0
26 Nov 2020
Self-Supervised Policy Adaptation during Deployment
Self-Supervised Policy Adaptation during Deployment
Nicklas Hansen
Rishabh Jangir
Yu Sun
Guillem Alenyà
Pieter Abbeel
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
41
159
0
08 Jul 2020
Sequential Transfer in Reinforcement Learning with a Generative Model
Sequential Transfer in Reinforcement Learning with a Generative Model
Andrea Tirinzoni
Riccardo Poiani
Marcello Restelli
6
24
0
01 Jul 2020
PAC Bounds for Imitation and Model-based Batch Learning of Contextual
  Markov Decision Processes
PAC Bounds for Imitation and Model-based Batch Learning of Contextual Markov Decision Processes
Yash Nair
Finale Doshi-Velez
OffRL
36
2
0
11 Jun 2020
Time-Variant Variational Transfer for Value Functions
Time-Variant Variational Transfer for Value Functions
Giuseppe Canonaco
Andrea Soprani
M. Roveri
Marcello Restelli
OOD
27
0
0
26 May 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
359
11,684
0
09 Mar 2017
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