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2005.07513
Cited By
A Distributional View on Multi-Objective Policy Optimization
15 May 2020
A. Abdolmaleki
Sandy H. Huang
Leonard Hasenclever
Michael Neunert
H. F. Song
Martina Zambelli
M. Martins
N. Heess
R. Hadsell
Martin Riedmiller
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Papers citing
"A Distributional View on Multi-Objective Policy Optimization"
17 / 17 papers shown
Title
How to Find the Exact Pareto Front for Multi-Objective MDPs?
Yining Li
Peizhong Ju
Ness B. Shroff
102
0
0
21 Oct 2024
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
35
0
0
03 Oct 2024
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning
Shangding Gu
Bilgehan Sel
Yuhao Ding
Lu Wang
Qingwei Lin
Alois Knoll
Ming Jin
40
1
0
26 May 2024
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization
Feiyang Ye
Baijiong Lin
Xiao-Qun Cao
Yu Zhang
Ivor Tsang
45
6
0
17 Jan 2024
Boosting Continuous Control with Consistency Policy
Yuhui Chen
Haoran Li
Dongbin Zhao
OffRL
27
19
0
10 Oct 2023
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
Tuomas Haarnoja
Ben Moran
Guy Lever
Sandy H. Huang
Dhruva Tirumala
...
Andrea Huber
N. Hurley
F. Nori
R. Hadsell
N. Heess
21
141
0
26 Apr 2023
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning
T. Kanazawa
Chetan Gupta
19
0
0
15 Mar 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning
James Queeney
M. Benosman
OOD
OffRL
22
5
0
30 Jan 2023
Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning
Conor F. Hayes
Mathieu Reymond
D. Roijers
Enda Howley
Patrick Mannion
11
4
0
23 Nov 2022
Pareto Set Learning for Expensive Multi-Objective Optimization
Xi Lin
Zhiyuan Yang
Xiao-Yan Zhang
Qingfu Zhang
21
54
0
16 Oct 2022
Improving alignment of dialogue agents via targeted human judgements
Amelia Glaese
Nat McAleese
Maja Trkebacz
John Aslanides
Vlad Firoiu
...
John F. J. Mellor
Demis Hassabis
Koray Kavukcuoglu
Lisa Anne Hendricks
G. Irving
ALM
AAML
225
500
0
28 Sep 2022
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models
Ali Ghadirzadeh
Petra Poklukar
Karol Arndt
Chelsea Finn
Ville Kyrki
Danica Kragic
Marten Bjorkman
OffRL
17
1
0
18 Apr 2022
Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors
Steven Bohez
S. Tunyasuvunakool
Philemon Brakel
Fereshteh Sadeghi
Leonard Hasenclever
...
Nathan Batchelor
Federico Casarini
J. Merel
R. Hadsell
N. Heess
17
50
0
31 Mar 2022
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
20
6
0
07 Jul 2021
Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification
D. Mankowitz
D. A. Calian
Rae Jeong
Cosmin Paduraru
N. Heess
Sumanth Dathathri
Martin Riedmiller
Timothy A. Mann
14
11
0
20 Oct 2020
Data-efficient visuomotor policy training using reinforcement learning and generative models
Ali Ghadirzadeh
Petra Poklukar
Ville Kyrki
Danica Kragic
Mårten Björkman
OffRL
26
9
0
26 Jul 2020
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills
Xue Bin Peng
Pieter Abbeel
Sergey Levine
M. van de Panne
AI4CE
153
495
0
08 Apr 2018
1