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Recurrent Reinforcement Learning: A Hybrid Approach
v1v2 (latest)

Recurrent Reinforcement Learning: A Hybrid Approach

10 September 2015
Xiujun Li
Lihong Li
Jianfeng Gao
Xiaodong He
Jianshu Chen
Li Deng
Ji He
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Recurrent Reinforcement Learning: A Hybrid Approach"

30 / 30 papers shown
Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems
Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems
Marcos Negre Saura
Richard Allmendinger
Theodore Papamarkou
Wei Pan
1.0K
0
0
04 Oct 2024
Real-Time Recurrent Learning using Trace Units in Reinforcement Learning
Real-Time Recurrent Learning using Trace Units in Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2024
Esraa Elelimy
Adam White
Michael Bowling
Martha White
OffRL
438
9
0
02 Sep 2024
Dynamic Deep-Reinforcement-Learning Algorithm in Partially Observable Markov Decision Processes
Dynamic Deep-Reinforcement-Learning Algorithm in Partially Observable Markov Decision Processes
Saki Omi
Hyo-Sang Shin
Namhoon Cho
Antonios Tsourdos
207
4
0
29 Jul 2023
Approximate information state based convergence analysis of recurrent
  Q-learning
Approximate information state based convergence analysis of recurrent Q-learning
Erfan Seyedsalehi
N. Akbarzadeh
Amit Sinha
Aditya Mahajan
229
6
0
09 Jun 2023
Embed to Control Partially Observed Systems: Representation Learning
  with Provable Sample Efficiency
Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency
Lingxiao Wang
Qi Cai
Zhuoran Yang
Zhaoran Wang
395
19
0
26 May 2022
Chain of Thought Imitation with Procedure Cloning
Chain of Thought Imitation with Procedure CloningNeural Information Processing Systems (NeurIPS), 2022
Mengjiao Yang
Dale Schuurmans
Pieter Abbeel
Ofir Nachum
OffRL
270
49
0
22 May 2022
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine
  Learning Models
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models
Yunhao Yang
Parham Gohari
Ufuk Topcu
AAML
363
3
0
06 Oct 2021
How memory architecture affects learning in a simple POMDP: the
  two-hypothesis testing problem
How memory architecture affects learning in a simple POMDP: the two-hypothesis testing problem
Mario Geiger
C. Eloy
Matthieu Wyart
155
0
0
16 Jun 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications
A Survey on Deep Reinforcement Learning for Audio-Based ApplicationsArtificial Intelligence Review (AIR), 2021
S. Latif
Heriberto Cuayáhuitl
Farrukh Pervez
Fahad Shamshad
Hafiz Shehbaz Ali
Xiaoshi Zhong
OffRL
461
95
0
01 Jan 2021
Towards Continual Reinforcement Learning: A Review and Perspectives
Towards Continual Reinforcement Learning: A Review and PerspectivesJournal of Artificial Intelligence Research (JAIR), 2020
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLLOffRL
674
405
0
25 Dec 2020
Hybrid Supervised Reinforced Model for Dialogue Systems
Hybrid Supervised Reinforced Model for Dialogue Systems
Carlos Miranda
Y. Kessaci
BDLOffRL
108
0
0
04 Nov 2020
Causally Correct Partial Models for Reinforcement Learning
Causally Correct Partial Models for Reinforcement Learning
Danilo Jimenez Rezende
Ivo Danihelka
George Papamakarios
Nan Rosemary Ke
Ray Jiang
...
Jane X. Wang
Jovana Mitrović
F. Besse
Ioannis Antonoglou
Lars Buesing
AI4TS
280
36
0
07 Feb 2020
MERL: Multi-Head Reinforcement Learning
MERL: Multi-Head Reinforcement Learning
Yannis Flet-Berliac
Philippe Preux
OffRL
490
15
0
26 Sep 2019
Shaping Belief States with Generative Environment Models for RL
Shaping Belief States with Generative Environment Models for RLNeural Information Processing Systems (NeurIPS), 2019
Karol Gregor
Danilo Jimenez Rezende
F. Besse
Yan Wu
Hamza Merzic
Aaron van den Oord
OffRLAI4CE
523
123
0
21 Jun 2019
Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial
  Robot Visual Navigation
Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial Robot Visual NavigationMachine-mediated learning (ML), 2019
Srivatsan Krishnan
Behzad Boroujerdian
William Fu
Aleksandra Faust
Vijay Janapa Reddi
395
48
0
02 Jun 2019
Machine Reading Comprehension for Answer Re-Ranking in Customer Support
  Chatbots
Machine Reading Comprehension for Answer Re-Ranking in Customer Support Chatbots
Momchil Hardalov
Ivan Koychev
Preslav Nakov
151
16
0
12 Feb 2019
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRLAI4CE
519
1,452
0
30 Nov 2018
Neural Predictive Belief Representations
Neural Predictive Belief Representations
Z. Guo
M. G. Azar
Bilal Piot
Bernardo Avila-Pires
Rémi Munos
SSL
261
82
0
15 Nov 2018
Neural Approaches to Conversational AI
Neural Approaches to Conversational AI
Jianfeng Gao
Michel Galley
Lihong Li
615
736
0
21 Sep 2018
Autonomous Ramp Merge Maneuver Based on Reinforcement Learning with
  Continuous Action Space
Autonomous Ramp Merge Maneuver Based on Reinforcement Learning with Continuous Action Space
Pin Wang
Ching-yao Chan
140
29
0
25 Mar 2018
Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth)
  Interventions
Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) InterventionsACM International Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB), 2018
Feiyun Zhu
Jun Guo
Ruoyu Li
Junzhou Huang
OffRL
167
19
0
27 Feb 2018
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
570
2,830
0
19 Aug 2017
The Intentional Unintentional Agent: Learning to Solve Many Continuous
  Control Tasks Simultaneously
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
Serkan Cabi
Sergio Gomez Colmenarejo
Matthew W. Hoffman
Misha Denil
Ziyun Wang
Nando de Freitas
271
31
0
11 Jul 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRLVLM
1.2K
1,798
0
25 Jan 2017
Memory Lens: How Much Memory Does an Agent Use?
Memory Lens: How Much Memory Does an Agent Use?
Christoph Dann
Katja Hofmann
Sebastian Nowozin
OffRL
161
3
0
21 Nov 2016
Reinforcement Learning with Unsupervised Auxiliary Tasks
Reinforcement Learning with Unsupervised Auxiliary Tasks
Max Jaderberg
Volodymyr Mnih
Wojciech M. Czarnecki
Tom Schaul
Joel Z Leibo
David Silver
Koray Kavukcuoglu
SSL
670
1,296
0
16 Nov 2016
Learning to Navigate in Complex Environments
Learning to Navigate in Complex Environments
Piotr Wojciech Mirowski
Razvan Pascanu
Fabio Viola
Hubert Soyer
Andy Ballard
...
Ross Goroshin
Laurent Sifre
Koray Kavukcuoglu
D. Kumaran
R. Hadsell
649
943
0
11 Nov 2016
Deep Q-Networks for Accelerating the Training of Deep Neural Networks
Jie Fu
AI4CE
518
12
0
05 Jun 2016
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent
  Q-Networks
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
196
153
0
08 Feb 2016
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning
Nan Jiang
Lihong Li
OffRL
608
695
0
11 Nov 2015
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