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Model-based Lifelong Reinforcement Learning with Bayesian Exploration

Model-based Lifelong Reinforcement Learning with Bayesian Exploration

20 October 2022
Haotian Fu
Shangqun Yu
Michael Littman
George Konidaris
    BDL
    OffRL
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Papers citing "Model-based Lifelong Reinforcement Learning with Bayesian Exploration"

12 / 12 papers shown
Title
Entropy-regularized Gradient Estimators for Approximate Bayesian Inference
Entropy-regularized Gradient Estimators for Approximate Bayesian Inference
Jasmeet Kaur
BDL
UQCV
75
0
0
15 Mar 2025
Knowledge Retention for Continual Model-Based Reinforcement Learning
Yixiang Sun
Haotian Fu
M. L. Littman
George Konidaris
OffRL
CLL
VLM
51
0
0
06 Mar 2025
Continual Offline Reinforcement Learning via Diffusion-based Dual
  Generative Replay
Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay
Jinmei Liu
Wenbin Li
Xiangyu Yue
Shilin Zhang
Chunlin Chen
Zhi Wang
OffRL
DiffM
36
5
0
16 Apr 2024
Continual Learning: Applications and the Road Forward
Continual Learning: Applications and the Road Forward
Eli Verwimp
Rahaf Aljundi
Shai Ben-David
Matthias Bethge
Andrea Cossu
...
J. Weijer
Bing Liu
Vincenzo Lomonaco
Tinne Tuytelaars
Gido M. van de Ven
CLL
43
44
0
20 Nov 2023
TAIL: Task-specific Adapters for Imitation Learning with Large
  Pretrained Models
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
Zuxin Liu
Jesse Zhang
Kavosh Asadi
Yao Liu
Ding Zhao
Shoham Sabach
Rasool Fakoor
ALM
AI4CE
23
25
0
09 Oct 2023
A Definition of Continual Reinforcement Learning
A Definition of Continual Reinforcement Learning
David Abel
André Barreto
Benjamin Van Roy
Doina Precup
H. V. Hasselt
Satinder Singh
CLL
31
73
0
20 Jul 2023
Ensemble Value Functions for Efficient Exploration in Multi-Agent
  Reinforcement Learning
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
Lukas Schafer
Oliver Slumbers
Stephen Marcus McAleer
Yali Du
Stefano V. Albrecht
D. Mguni
79
7
0
07 Feb 2023
The Effectiveness of World Models for Continual Reinforcement Learning
The Effectiveness of World Models for Continual Reinforcement Learning
Samuel Kessler
M. Ostaszewski
Michal Bortkiewicz
M. Żarski
Maciej Wołczyk
Jack Parker-Holder
Stephen J. Roberts
Piotr Milo's
KELM
OffRL
CLL
30
7
0
29 Nov 2022
Meta-Learning Parameterized Skills
Meta-Learning Parameterized Skills
Haotian Fu
Shangqun Yu
Saket Tiwari
Michael Littman
George Konidaris
38
6
0
07 Jun 2022
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
202
498
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
176
666
0
07 Jun 2018
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
350
11,684
0
09 Mar 2017
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