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Expected Policy Gradients for Reinforcement Learning

Expected Policy Gradients for Reinforcement Learning

10 January 2018
K. Ciosek
Shimon Whiteson
ArXivPDFHTML

Papers citing "Expected Policy Gradients for Reinforcement Learning"

14 / 14 papers shown
Title
VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making
VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making
Jake Grigsby
Yuke Zhu
Michael S Ryoo
Juan Carlos Niebles
OffRL
VLM
41
0
0
06 May 2025
Bigger, Regularized, Optimistic: scaling for compute and
  sample-efficient continuous control
Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control
Michal Nauman
M. Ostaszewski
Krzysztof Jankowski
Piotr Milo's
Marek Cygan
OffRL
45
16
0
25 May 2024
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics
Michal Nauman
Marek Cygan
35
1
0
30 Oct 2023
On Many-Actions Policy Gradient
On Many-Actions Policy Gradient
Michal Nauman
Marek Cygan
17
0
0
24 Oct 2022
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch
Shangtong Zhang
Rémi Tachet des Combes
Romain Laroche
24
10
0
04 Nov 2021
Settling the Variance of Multi-Agent Policy Gradients
Settling the Variance of Multi-Agent Policy Gradients
J. Kuba
Muning Wen
Yaodong Yang
Linghui Meng
Shangding Gu
Haifeng Zhang
D. Mguni
Jun Wang
24
58
0
19 Aug 2021
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and
  Algorithms
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kaipeng Zhang
Zhuoran Yang
Tamer Basar
55
1,180
0
24 Nov 2019
Better Exploration with Optimistic Actor-Critic
Better Exploration with Optimistic Actor-Critic
K. Ciosek
Q. Vuong
R. Loftin
Katja Hofmann
11
148
0
28 Oct 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
48
412
0
11 Aug 2019
Trajectory-wise Control Variates for Variance Reduction in Policy
  Gradient Methods
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods
Ching-An Cheng
Xinyan Yan
Byron Boots
14
22
0
08 Aug 2019
VIREL: A Variational Inference Framework for Reinforcement Learning
VIREL: A Variational Inference Framework for Reinforcement Learning
M. Fellows
Anuj Mahajan
Tim G. J. Rudner
Shimon Whiteson
DRL
19
53
0
03 Nov 2018
A survey on policy search algorithms for learning robot controllers in a
  handful of trials
A survey on policy search algorithms for learning robot controllers in a handful of trials
Konstantinos Chatzilygeroudis
Vassilis Vassiliades
F. Stulp
Sylvain Calinon
Jean-Baptiste Mouret
17
155
0
06 Jul 2018
Fourier Policy Gradients
Fourier Policy Gradients
M. Fellows
K. Ciosek
Shimon Whiteson
27
15
0
19 Feb 2018
Off-Policy Actor-Critic
Off-Policy Actor-Critic
T. Degris
Martha White
R. Sutton
OffRL
CML
163
220
0
22 May 2012
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