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A Generalized Algorithm for Multi-Objective Reinforcement Learning and
  Policy Adaptation

A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation

21 August 2019
Runzhe Yang
Xingyuan Sun
Karthik Narasimhan
ArXivPDFHTML

Papers citing "A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation"

50 / 52 papers shown
Title
DSADF: Thinking Fast and Slow for Decision Making
DSADF: Thinking Fast and Slow for Decision Making
Alex Zhihao Dou
Dongfei Cui
Jun Yan
Wei Wang
Benteng Chen
Haoming Wang
Zeke Xie
Shufei Zhang
OffRL
43
1
0
13 May 2025
Constructing an Optimal Behavior Basis for the Option Keyboard
Constructing an Optimal Behavior Basis for the Option Keyboard
L. N. Alegre
A. Bazzan
André Barreto
Bruno C. da Silva
26
0
0
01 May 2025
SNPL: Simultaneous Policy Learning and Evaluation for Safe Multi-Objective Policy Improvement
SNPL: Simultaneous Policy Learning and Evaluation for Safe Multi-Objective Policy Improvement
Brian Cho
Ana-Roxana Pop
Ariel Evince
Nathan Kallus
OffRL
46
0
0
17 Mar 2025
On Generalization Across Environments In Multi-Objective Reinforcement Learning
Jayden Teoh
Pradeep Varakantham
Peter Vamplew
OffRL
36
1
0
02 Mar 2025
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards
Shresth Verma
Niclas Boehmer
Lingkai Kong
Milind Tambe
77
2
0
17 Jan 2025
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts
Helia Hashemi
J. Eisner
Corby Rosset
Benjamin Van Durme
Chris Kedzie
68
2
0
03 Jan 2025
How to Find the Exact Pareto Front for Multi-Objective MDPs?
How to Find the Exact Pareto Front for Multi-Objective MDPs?
Yining Li
Peizhong Ju
Ness B. Shroff
214
0
0
21 Oct 2024
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front
Ruohong Liu
Yuxin Pan
Linjie Xu
Lei Song
Jiang Bian
Pengcheng You
Yize Chen
48
1
0
03 Oct 2024
Any-Property-Conditional Molecule Generation with Self-Criticism using
  Spanning Trees
Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees
Alexia Jolicoeur-Martineau
A. Baratin
Kisoo Kwon
Boris Knyazev
Yan Zhang
45
1
0
12 Jul 2024
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models
Hersh Sanghvi
Spencer Folk
Camillo J Taylor
47
3
0
25 Jun 2024
Training Greedy Policy for Proposal Batch Selection in Expensive
  Multi-Objective Combinatorial Optimization
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization
Deokjae Lee
Hyun Oh Song
Kyunghyun Cho
OffRL
54
0
0
21 Jun 2024
Preparing for Black Swans: The Antifragility Imperative for Machine
  Learning
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
Ming Jin
42
2
0
18 May 2024
Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks
Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks
Zijiang Yan
Hina Tabassum
32
2
0
18 May 2024
UCB-driven Utility Function Search for Multi-objective Reinforcement
  Learning
UCB-driven Utility Function Search for Multi-objective Reinforcement Learning
Yucheng Shi
Alexandros Agapitos
David Lynch
Giorgio Cruciata
Cengis Hasan
Hao Wang
Yayu Yao
Aleksandar Milenovic
35
0
0
01 May 2024
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement
  Learning for Discrete Prompt Optimization
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization
Yasaman Jafari
Dheeraj Mekala
Rose Yu
Taylor Berg-Kirkpatrick
53
7
0
18 Feb 2024
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level
  Optimization
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization
Feiyang Ye
Baijiong Lin
Xiao-Qun Cao
Yu Zhang
Ivor Tsang
50
6
0
17 Jan 2024
Multi-Objective Reinforcement Learning-based Approach for Pressurized
  Water Reactor Optimization
Multi-Objective Reinforcement Learning-based Approach for Pressurized Water Reactor Optimization
Paul Seurin
K. Shirvan
24
10
0
15 Dec 2023
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human
  Preferences
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences
Minyoung Hwang
Luca Weihs
Chanwoo Park
Kimin Lee
Aniruddha Kembhavi
Kiana Ehsani
35
18
0
14 Dec 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
Homayoun Najjaran
35
11
0
04 Oct 2023
Unsupervised Discovery of Continuous Skills on a Sphere
Unsupervised Discovery of Continuous Skills on a Sphere
Takahisa Imagawa
Takuya Hiraoka
Yoshimasa Tsuruoka
35
0
0
21 May 2023
Latent-Conditioned Policy Gradient for Multi-Objective Deep
  Reinforcement Learning
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning
T. Kanazawa
Chetan Gupta
29
0
0
15 Mar 2023
A Scale-Independent Multi-Objective Reinforcement Learning with
  Convergence Analysis
A Scale-Independent Multi-Objective Reinforcement Learning with Convergence Analysis
Mohsen Amidzadeh
24
0
0
08 Feb 2023
Welfare and Fairness in Multi-objective Reinforcement Learning
Welfare and Fairness in Multi-objective Reinforcement Learning
Zimeng Fan
Nianli Peng
Muhang Tian
Brandon Fain
24
14
0
30 Nov 2022
Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective
  Reinforcement Learning
Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning
Conor F. Hayes
Mathieu Reymond
D. Roijers
Enda Howley
Patrick Mannion
24
4
0
23 Nov 2022
Redeeming Intrinsic Rewards via Constrained Optimization
Redeeming Intrinsic Rewards via Constrained Optimization
Eric Chen
Zhang-Wei Hong
Joni Pajarinen
Pulkit Agrawal
OnRL
36
24
0
14 Nov 2022
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement
Jiachen Yang
K. Mittal
T. Dzanic
S. Petrides
B. Keith
Brenden K. Petersen
Daniel Faissol
R. Anderson
31
8
0
02 Nov 2022
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled
  Systems
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems
Fitash Ul Haq
Donghwan Shin
Lionel C. Briand
OffRL
52
40
0
27 Oct 2022
Pareto Set Learning for Expensive Multi-Objective Optimization
Pareto Set Learning for Expensive Multi-Objective Optimization
Xi Lin
Zhiyuan Yang
Xiao-Yan Zhang
Qingfu Zhang
39
54
0
16 Oct 2022
Regularized Soft Actor-Critic for Behavior Transfer Learning
Regularized Soft Actor-Critic for Behavior Transfer Learning
Mingxi Tan
Andong Tian
Ludovic Denoyer
20
3
0
27 Sep 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary
  Reinforcement Learning towards Asynchronous Commercial Games
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games
Hui Bai
R. Shen
Yue Lin
Bo Xu
Ran Cheng
VLM
36
5
0
21 Sep 2022
Socially Fair Reinforcement Learning
Socially Fair Reinforcement Learning
Debmalya Mandal
Jiarui Gan
OffRL
25
13
0
26 Aug 2022
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective
  Reinforcement Learning
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
Ruida Zhou
Tao-Wen Liu
D. Kalathil
P. R. Kumar
Chao Tian
34
13
0
10 Jun 2022
Flexible Multiple-Objective Reinforcement Learning for Chip Placement
Flexible Multiple-Objective Reinforcement Learning for Chip Placement
Fu-Chieh Chang
Yu-Wei Tseng
Ya-Wen Yu
Ssu-Rui Lee
Alexandru Cioba
...
Chien-Yi Yang
Ren-Chu Wang
Yao-Wen Chang
Tai-Chen Chen
Tung-Chieh Chen
OffRL
33
5
0
13 Apr 2022
AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping
  Reinforcement
AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement
M. Das
Brijraj Singh
Harsh Chheda
Pawan Sharma
NS Pradeep
41
0
0
29 Mar 2022
Design of Detectors at the Electron Ion Collider with Artificial
  Intelligence
Design of Detectors at the Electron Ion Collider with Artificial Intelligence
C. Fanelli
23
7
0
09 Mar 2022
Min-Max Bilevel Multi-objective Optimization with Applications in
  Machine Learning
Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning
Alex Gu
Songtao Lu
Parikshit Ram
Tsui-Wei Weng
51
10
0
03 Mar 2022
Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP
Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP
Ishaan Mehta
Sharareh Taghipour
Sajad Saeedi
27
4
0
02 Mar 2022
Reinforcement Learning for Personalized Drug Discovery and Design for
  Complex Diseases: A Systems Pharmacology Perspective
Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective
Ryan K. Tan
Yang Liu
Lei Xie
44
2
0
21 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
33
100
0
11 Jan 2022
Recent Advances in Reinforcement Learning in Finance
Recent Advances in Reinforcement Learning in Finance
B. Hambly
Renyuan Xu
Huining Yang
OffRL
29
167
0
08 Dec 2021
A space of goals: the cognitive geometry of informationally bounded
  agents
A space of goals: the cognitive geometry of informationally bounded agents
Karen Archer
Nicola Catenacci Volpi
F. Bröker
Daniel Polani
16
5
0
05 Nov 2021
GrowSpace: Learning How to Shape Plants
GrowSpace: Learning How to Shape Plants
Yasmeen Hitti
Ionelia Buzatu
Manuel Del Verme
M. Lefsrud
Florian Golemo
A. Durand
19
2
0
15 Oct 2021
Multi-Objective Graph Heuristic Search for Terrestrial Robot Design
Multi-Objective Graph Heuristic Search for Terrestrial Robot Design
Jie Xu
Andrew Spielberg
Allan Zhao
Daniela Rus
Wojciech Matusik
69
38
0
13 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real
  world: aligning domain-agnostic and domain-specific research
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
25
6
0
07 Jul 2021
Expected Scalarised Returns Dominance: A New Solution Concept for
  Multi-Objective Decision Making
Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making
Conor F. Hayes
T. Verstraeten
D. Roijers
Enda Howley
Patrick Mannion
34
14
0
02 Jun 2021
Scalable Pareto Front Approximation for Deep Multi-Objective Learning
Scalable Pareto Front Approximation for Deep Multi-Objective Learning
Michael Ruchte
Josif Grabocka
32
58
0
24 Mar 2021
Chance-Constrained Control with Lexicographic Deep Reinforcement
  Learning
Chance-Constrained Control with Lexicographic Deep Reinforcement Learning
Alessandro Giuseppi
A. Pietrabissa
20
7
0
19 Oct 2020
Treatment Policy Learning in Multiobjective Settings with Fully Observed
  Outcomes
Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes
S. Boominathan
Michael Oberst
Helen Zhou
S. Kanjilal
David Sontag
OffRL
10
8
0
01 Jun 2020
A Distributional View on Multi-Objective Policy Optimization
A Distributional View on Multi-Objective Policy Optimization
A. Abdolmaleki
Sandy H. Huang
Leonard Hasenclever
Michael Neunert
H. F. Song
Martina Zambelli
M. Martins
N. Heess
R. Hadsell
Martin Riedmiller
23
74
0
15 May 2020
An empirical investigation of the challenges of real-world reinforcement
  learning
An empirical investigation of the challenges of real-world reinforcement learning
Gabriel Dulac-Arnold
Nir Levine
D. Mankowitz
Jerry Li
Cosmin Paduraru
Sven Gowal
Todd Hester
OffRL
34
121
0
24 Mar 2020
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