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A Brief Survey of Deep Reinforcement Learning

A Brief Survey of Deep Reinforcement Learning

19 August 2017
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
    OffRL
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Papers citing "A Brief Survey of Deep Reinforcement Learning"

50 / 153 papers shown
Title
Aerodynamic and structural airfoil shape optimisation via Transfer Learning-enhanced Deep Reinforcement Learning
Aerodynamic and structural airfoil shape optimisation via Transfer Learning-enhanced Deep Reinforcement Learning
David Ramos
Lucas Lacasa
E. Valero
G. Rubio
AI4CE
27
0
0
05 May 2025
A Generalised and Adaptable Reinforcement Learning Stopping Method
A Generalised and Adaptable Reinforcement Learning Stopping Method
Reem Bin-Hezam
Mark Stevenson
19
0
0
03 May 2025
Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems
Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems
Sahil Tomar
Shamshe Alam
Sandeep Kumar
Amit Mathur
36
0
0
29 Apr 2025
An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination
An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination
Dixiao Wei
Peng Yi
Jinlong Lei
Yiguang Hong
Yuchuan Du
93
0
0
28 Apr 2025
Motion Generation for Food Topping Challenge 2024: Serving Salmon Roe Bowl and Picking Fried Chicken
Motion Generation for Food Topping Challenge 2024: Serving Salmon Roe Bowl and Picking Fried Chicken
Koki Inami
Masashi Konosu
Koki Yamane
Nozomu Masuya
Yunhan Li
Yu-Han Shu
Hiroshi Sato
Shinnosuke Homma
S. Sakaino
49
0
0
28 Apr 2025
BQSched: A Non-intrusive Scheduler for Batch Concurrent Queries via Reinforcement Learning
BQSched: A Non-intrusive Scheduler for Batch Concurrent Queries via Reinforcement Learning
Chenhao Xu
Chunyu Chen
Jinglin Peng
Jiannan Wang
Jun Gao
OffRL
AI4TS
43
0
0
27 Apr 2025
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems
Zhidi Lin
Ying Li
Feng Yin
Juan Maroñas
Alexandre Thiéry
49
0
0
24 Mar 2025
Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic Programming
Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic Programming
Minori Narita
Ryo Kuroiwa
J. Christopher Beck
42
0
0
20 Mar 2025
Behaviour Discovery and Attribution for Explainable Reinforcement Learning
Rishav Rishav
Somjit Nath
Vincent Michalski
Samira Ebrahimi Kahou
FAtt
OffRL
68
0
0
19 Mar 2025
Efficiently Solving Discounted MDPs with Predictions on Transition Matrices
Efficiently Solving Discounted MDPs with Predictions on Transition Matrices
Lixing Lyu
Jiashuo Jiang
Wang Chi Cheung
40
1
0
24 Feb 2025
Reinforcement Learning in Strategy-Based and Atari Games: A Review of Google DeepMinds Innovations
Reinforcement Learning in Strategy-Based and Atari Games: A Review of Google DeepMinds Innovations
Abdelrhman Shaheen
Anas Badr
Ali Abohendy
Hatem Alsaadawy
Nadine Alsayad
57
0
0
14 Feb 2025
A Survey of Reinforcement Learning for Optimization in Automation
A Survey of Reinforcement Learning for Optimization in Automation
Ahmad Farooq
Kamran Iqbal
OffRL
84
1
0
13 Feb 2025
Reinforced Lifelong Editing for Language Models
Reinforced Lifelong Editing for Language Models
Zherui Li
Houcheng Jiang
Hao Chen
Baolong Bi
Z. Zhou
Fei Sun
Junfeng Fang
X. Wang
KELM
51
5
0
09 Feb 2025
Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent
Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent
Lucía Güitta-López
Jaime Boal
Álvaro J. López-López
38
5
0
24 Jan 2025
Audio-Driven Reinforcement Learning for Head-Orientation in Naturalistic Environments
Audio-Driven Reinforcement Learning for Head-Orientation in Naturalistic Environments
Wessel Ledder
Yuzhen Qin
Kiki van der Heijden
92
0
0
20 Jan 2025
Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation
N. Dennler
S. Nikolaidis
Maja J. Matarić
95
0
0
03 Jan 2025
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots
H. Zhang
Xiaoman Pan
Hongwei Wang
Kaixin Ma
W. Yu
Dong Yu
LLMAG
57
3
0
03 Jan 2025
Acceleration for Deep Reinforcement Learning using Parallel and
  Distributed Computing: A Survey
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey
Zhihong Liu
Xin Xu
Peng Qiao
Dongsheng Li
OffRL
20
2
0
08 Nov 2024
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning
Kaiyan Zhao
Yiming Wang
Yuyang Chen
Xiaoguang Niu
Yan Li
Leong Hou U
31
1
0
27 Oct 2024
Learning Agents With Prioritization and Parameter Noise in Continuous
  State and Action Space
Learning Agents With Prioritization and Parameter Noise in Continuous State and Action Space
Rajesh Mangannavar
Gopalakrishnan Srinivasaraghavan
23
2
0
15 Oct 2024
Artificial Intelligence for Secured Information Systems in Smart Cities: Collaborative IoT Computing with Deep Reinforcement Learning and Blockchain
Artificial Intelligence for Secured Information Systems in Smart Cities: Collaborative IoT Computing with Deep Reinforcement Learning and Blockchain
Amin Zakaie Far
Mohammad Zakaie Far
Sonia Gharibzadeh
Shiva Zangeneh
Leila Amini
Morteza Rahimi
Morteza Rahimi
Saeed Asadi
26
5
0
24 Sep 2024
Formal Verification and Control with Conformal Prediction
Formal Verification and Control with Conformal Prediction
Lars Lindemann
Yiqi Zhao
Xinyi Yu
George J. Pappas
Jyotirmoy V. Deshmukh
60
14
0
31 Aug 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations
Yupei Yang
Biwei Huang
Fan Feng
Xinyue Wang
Shikui Tu
Lei Xu
CML
OOD
TTA
36
1
0
30 Jul 2024
The Impact of Quantization and Pruning on Deep Reinforcement Learning
  Models
The Impact of Quantization and Pruning on Deep Reinforcement Learning Models
Heng Lu
Mehdi Alemi
Reza Rawassizadeh
34
1
0
05 Jul 2024
To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning
To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning
Tao Ma
Xuzhi Yang
Zoltan Szabo
OffRL
58
0
0
01 Jul 2024
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over
  Graphs
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs
Zhicheng Liang
Y. Yang
Xiangyu Ke
Xiaokui Xiao
Yunjun Gao
28
0
0
20 Jun 2024
Matrix Low-Rank Trust Region Policy Optimization
Matrix Low-Rank Trust Region Policy Optimization
Sergio Rozada
Antonio G. Marques
41
0
0
27 May 2024
Model-based reinforcement learning for protein backbone design
Model-based reinforcement learning for protein backbone design
Frederic Renard
Cyprien Courtot
Alfredo Reichlin
Oliver Bent
36
0
0
03 May 2024
Deep Reinforcement Learning for Bipedal Locomotion: A Brief Survey
Deep Reinforcement Learning for Bipedal Locomotion: A Brief Survey
Lingfan Bao
Josephine N. Humphreys
Tianhu Peng
Chengxu Zhou
65
5
0
25 Apr 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for
  Mobile Edge Computing, its Applications, and Future Research Trajectories
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories
Ning Yang
Shuo Chen
Haijun Zhang
Randall Berry
OffRL
29
5
0
22 Apr 2024
Effective Reinforcement Learning Based on Structural Information
  Principles
Effective Reinforcement Learning Based on Structural Information Principles
Xianghua Zeng
Hao Peng
Dingli Su
Angsheng Li
35
0
0
15 Apr 2024
Specification Overfitting in Artificial Intelligence
Specification Overfitting in Artificial Intelligence
Benjamin Roth
Pedro Henrique Luz de Araujo
Yuxi Xia
Saskia Kaltenbrunner
Christoph Korab
56
0
0
13 Mar 2024
A mechanism-driven reinforcement learning framework for shape
  optimization of airfoils
A mechanism-driven reinforcement learning framework for shape optimization of airfoils
Jingfeng Wang
Guanghui Hu
13
1
0
07 Mar 2024
A Scoping Review of Energy-Efficient Driving Behaviors and Applied
  State-of-the-Art AI Methods
A Scoping Review of Energy-Efficient Driving Behaviors and Applied State-of-the-Art AI Methods
Zhipeng Ma
Bo Nørregaard Jørgensen
Z. Ma
11
4
0
04 Mar 2024
Improving a Proportional Integral Controller with Reinforcement Learning
  on a Throttle Valve Benchmark
Improving a Proportional Integral Controller with Reinforcement Learning on a Throttle Valve Benchmark
Paul Daoudi
B. Mavkov
Bogdan Robu
Christophe Prieur
Emmanuel Witrant
M. Barlier
Ludovic Dos Santos
13
2
0
21 Feb 2024
Maximizing NFT Incentives: References Make You Rich
Maximizing NFT Incentives: References Make You Rich
Guangsheng Yu
Qin Wang
Caijun Sun
L. Nguyen
H.M.N. Dilum Bandara
Shiping Chen
30
1
0
09 Feb 2024
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration
Mike Heddes
Narayan Srinivasa
T. Givargis
Alexandru Nicolau
91
0
0
12 Jan 2024
Semi-supervised learning via DQN for log anomaly detection
Semi-supervised learning via DQN for log anomaly detection
Yingying He
Xiaobing Pei
Lihong Shen
28
1
0
06 Jan 2024
An Invitation to Deep Reinforcement Learning
An Invitation to Deep Reinforcement Learning
Bernhard Jaeger
Andreas Geiger
OffRL
OOD
73
5
0
13 Dec 2023
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
Yichen Gong
Delong Ran
Jinyuan Liu
Conglei Wang
Tianshuo Cong
Anyu Wang
Sisi Duan
Xiaoyun Wang
MLLM
129
117
0
09 Nov 2023
Leveraging Knowledge Distillation for Efficient Deep Reinforcement
  Learning in Resource-Constrained Environments
Leveraging Knowledge Distillation for Efficient Deep Reinforcement Learning in Resource-Constrained Environments
Guanlin Meng
16
1
0
16 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the
  state-of-the-art, and future directions
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi
Todd Charter
Marjan Yaghoubi
Masoud Jalayer
Maryam Ahang
Ardeshir Shojaeinasab
H. Najjaran
29
11
0
04 Oct 2023
On Generating Explanations for Reinforcement Learning Policies: An Empirical Study
On Generating Explanations for Reinforcement Learning Policies: An Empirical Study
Mikihisa Yuasa
Huy T. Tran
R. Sreenivas
FAtt
LRM
46
1
0
29 Sep 2023
Raijū: Reinforcement Learning-Guided Post-Exploitation for Automating
  Security Assessment of Network Systems
Raijū: Reinforcement Learning-Guided Post-Exploitation for Automating Security Assessment of Network Systems
V. Pham
Hien Do Hoang
Phan Thanh Trung
Van Dinh Quoc
T. To
Phan The Duy
9
0
0
27 Sep 2023
On Reducing Undesirable Behavior in Deep Reinforcement Learning Models
On Reducing Undesirable Behavior in Deep Reinforcement Learning Models
Ophir M. Carmel
Guy Katz
22
0
0
06 Sep 2023
Iterative Reward Shaping using Human Feedback for Correcting Reward
  Misspecification
Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification
Jasmina Gajcin
J. McCarthy
Rahul Nair
Radu Marinescu
Elizabeth M. Daly
Ivana Dusparic
16
3
0
30 Aug 2023
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous
  Robotics
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics
Zexin Li
Aritra Samanta
Yufei Li
Andrea Soltoggio
Hyoseung Kim
Cong Liu
22
6
0
29 Aug 2023
Traffic Light Control with Reinforcement Learning
Traffic Light Control with Reinforcement Learning
Tao Pan
21
1
0
28 Aug 2023
Prompt-Based Length Controlled Generation with Reinforcement Learning
Prompt-Based Length Controlled Generation with Reinforcement Learning
Renlong Jie
Xiaojun Meng
Lifeng Shang
Xin Jiang
Qun Liu
13
8
0
23 Aug 2023
Large Language Models and Foundation Models in Smart Agriculture:
  Basics, Opportunities, and Challenges
Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges
Jiajia Li
Mingle Xu
Lirong Xiang
Dong Chen
Weichao Zhuang
Xunyuan Yin
Zhao Li
25
3
0
13 Aug 2023
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