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Learning Adaptive Exploration Strategies in Dynamic Environments Through
  Informed Policy Regularization

Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization

6 May 2020
Pierre-Alexandre Kamienny
Matteo Pirotta
A. Lazaric
Thibault Lavril
Nicolas Usunier
Ludovic Denoyer
ArXivPDFHTML

Papers citing "Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization"

11 / 11 papers shown
Title
Towards a Reward-Free Reinforcement Learning Framework for Vehicle Control
Towards a Reward-Free Reinforcement Learning Framework for Vehicle Control
Jielong Yang
Daoyuan Huang
46
0
0
21 Feb 2025
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
Jacob Beck
Risto Vuorio
Zheng Xiong
Shimon Whiteson
47
9
0
26 Sep 2023
A Survey of Meta-Reinforcement Learning
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
39
124
0
19 Jan 2023
An Adaptive Deep RL Method for Non-Stationary Environments with
  Piecewise Stable Context
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context
Xiaoyu Chen
Xiangming Zhu
Yufeng Zheng
Pushi Zhang
Li Zhao
...
Peng Cheng
Y. Xiong
Tao Qin
Jianyu Chen
Tie-Yan Liu
OffRL
16
11
0
24 Dec 2022
Giving Feedback on Interactive Student Programs with Meta-Exploration
Giving Feedback on Interactive Student Programs with Meta-Exploration
E. Liu
Moritz Stephan
Allen Nie
Chris Piech
Emma Brunskill
Chelsea Finn
AI4Ed
32
8
0
16 Nov 2022
Block Contextual MDPs for Continual Learning
Block Contextual MDPs for Continual Learning
Shagun Sodhani
Franziska Meier
Joelle Pineau
Amy Zhang
CLL
41
26
0
13 Oct 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision
Offline Meta-Reinforcement Learning with Online Self-Supervision
Vitchyr H. Pong
Ashvin Nair
Laura M. Smith
Catherine Huang
Sergey Levine
OffRL
34
66
0
08 Jul 2021
Meta-Reinforcement Learning by Tracking Task Non-stationarity
Meta-Reinforcement Learning by Tracking Task Non-stationarity
Riccardo Poiani
Andrea Tirinzoni
Marcello Restelli
OffRL
24
10
0
18 May 2021
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning
  for Decentralized Traffic Signal Control
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
Liwen Zhu
Peixi Peng
Zongqing Lu
Xiangqian Wang
Yonghong Tian
24
20
0
04 Jan 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
196
640
0
19 Sep 2019
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
487
11,715
0
09 Mar 2017
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