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Better Exploration with Optimistic Actor-Critic

Better Exploration with Optimistic Actor-Critic

28 October 2019
K. Ciosek
Q. Vuong
R. Loftin
Katja Hofmann
ArXivPDFHTML

Papers citing "Better Exploration with Optimistic Actor-Critic"

26 / 26 papers shown
Title
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
Eliot Xing
Vernon Luk
Jean Oh
84
0
0
16 Dec 2024
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
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter
  Lesson of Reinforcement Learning
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
Michal Nauman
Michal Bortkiewicz
Piotr Milo's
Tomasz Trzciñski
M. Ostaszewski
Marek Cygan
OffRL
30
17
0
01 Mar 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
Wasserstein Actor-Critic: Directed Exploration via Optimism for
  Continuous-Actions Control
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control
Amarildo Likmeta
Matteo Sacco
Alberto Maria Metelli
Marcello Restelli
OffRL
18
3
0
04 Mar 2023
Model-Based Uncertainty in Value Functions
Model-Based Uncertainty in Value Functions
Carlos E. Luis
A. Bottero
Julia Vinogradska
Felix Berkenkamp
Jan Peters
36
13
0
24 Feb 2023
PAC-Bayesian Soft Actor-Critic Learning
PAC-Bayesian Soft Actor-Critic Learning
Bahareh Tasdighi
Abdullah Akgul
Manuel Haussmann
Kenny Kazimirzak Brink
M. Kandemir
34
3
0
30 Jan 2023
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration
Qisheng Zhang
Zhen Guo
A. Jøsang
Lance M. Kaplan
F. Chen
Dong-Ho Jeong
Jin-Hee Cho
25
0
0
13 Dec 2022
Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch
  Size
Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size
Alexander Nikulin
Vladislav Kurenkov
Denis Tarasov
Dmitry Akimov
Sergey Kolesnikov
OffRL
33
14
0
20 Nov 2022
Revisiting Discrete Soft Actor-Critic
Revisiting Discrete Soft Actor-Critic
Haibin Zhou
Zichuan Lin
Junyou Li
Qiang Fu
Wei Yang
Deheng Ye
46
12
0
21 Sep 2022
An information-theoretic perspective on intrinsic motivation in
  reinforcement learning: a survey
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey
A. Aubret
L. Matignon
S. Hassas
37
35
0
19 Sep 2022
The Sufficiency of Off-Policyness and Soft Clipping: PPO is still
  Insufficient according to an Off-Policy Measure
The Sufficiency of Off-Policyness and Soft Clipping: PPO is still Insufficient according to an Off-Policy Measure
Xing Chen
Dongcui Diao
Hechang Chen
Hengshuai Yao
Haiyin Piao
Zhixiao Sun
Zhiwei Yang
Randy Goebel
Bei Jiang
Yi-Ju Chang
OffRL
32
8
0
20 May 2022
Learning Pessimism for Robust and Efficient Off-Policy Reinforcement
  Learning
Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning
Edoardo Cetin
Oya Celiktutan
OffRL
42
16
0
07 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified
  Q-Ensemble
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An
Seungyong Moon
Jang-Hyun Kim
Hyun Oh Song
OffRL
105
262
0
04 Oct 2021
Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates
Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates
Romain Laroche
Rémi Tachet des Combes
46
8
0
29 Sep 2021
On the Estimation Bias in Double Q-Learning
On the Estimation Bias in Double Q-Learning
Zhizhou Ren
Guangxiang Zhu
Haotian Hu
Beining Han
Jian-Hai Chen
Chongjie Zhang
24
17
0
29 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to
  Multiagent Domain
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao
Tianpei Yang
Hongyao Tang
Chenjia Bai
Jinyi Liu
Zhaopeng Meng
Peng Liu
Zhen Wang
OffRL
36
92
0
14 Sep 2021
ADER:Adapting between Exploration and Robustness for Actor-Critic
  Methods
ADER:Adapting between Exploration and Robustness for Actor-Critic Methods
Bo Zhou
Kejiao Li
Hongsheng Zeng
Fan Wang
Hao Tian
OffRL
24
1
0
08 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning
A Survey of Exploration Methods in Reinforcement Learning
Susan Amin
Maziar Gomrokchi
Harsh Satija
H. V. Hoof
Doina Precup
OffRL
21
80
0
01 Sep 2021
Bayesian Bellman Operators
Bayesian Bellman Operators
M. Fellows
Kristian Hartikainen
Shimon Whiteson
OffRL
42
15
0
09 Jun 2021
Enhanced Pub/Sub Communications for Massive IoT Traffic with SARSA
  Reinforcement Learning
Enhanced Pub/Sub Communications for Massive IoT Traffic with SARSA Reinforcement Learning
Carlos R. E. Arruda
Pedro F. Moraes
N. Agoulmine
Joberto S. B. Martins
15
7
0
03 Jan 2021
Proximal Policy Optimization via Enhanced Exploration Efficiency
Proximal Policy Optimization via Enhanced Exploration Efficiency
Junwei Zhang
Zhenghao Zhang
Shuai Han
Shuai Lu
29
41
0
11 Nov 2020
Softmax Deep Double Deterministic Policy Gradients
Softmax Deep Double Deterministic Policy Gradients
Ling Pan
Qingpeng Cai
Longbo Huang
72
86
0
19 Oct 2020
Non-local Policy Optimization via Diversity-regularized Collaborative
  Exploration
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration
Zhenghao Peng
Hao Sun
Bolei Zhou
18
18
0
14 Jun 2020
Novel Policy Seeking with Constrained Optimization
Novel Policy Seeking with Constrained Optimization
Hao Sun
Zhenghao Peng
Bo Dai
Jian Guo
Dahua Lin
Bolei Zhou
24
13
0
21 May 2020
Effective Diversity in Population Based Reinforcement Learning
Effective Diversity in Population Based Reinforcement Learning
Jack Parker-Holder
Aldo Pacchiano
K. Choromanski
Stephen J. Roberts
14
158
0
03 Feb 2020
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