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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

1 March 2024
Michal Nauman
Michal Bortkiewicz
Piotr Milo's
Tomasz Trzciñski
M. Ostaszewski
Marek Cygan
    OffRL
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Papers citing "Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning"

13 / 13 papers shown
Title
Multi-Task Reinforcement Learning Enables Parameter Scaling
Reginald McLean
Evangelos Chataroulas
Jordan Terry
Isaac Woungang
Nariman Farsad
P. S. Castro
LRM
39
0
0
07 Mar 2025
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hojoon Lee
Youngdo Lee
Takuma Seno
Donghu Kim
Peter Stone
Jaegul Choo
63
1
0
24 Feb 2025
Streaming Deep Reinforcement Learning Finally Works
Streaming Deep Reinforcement Learning Finally Works
Mohamed Elsayed
G. Vasan
A. R. Mahmood
OffRL
35
4
0
18 Oct 2024
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
C. Voelcker
Marcel Hussing
Eric Eaton
Amir-massoud Farahmand
Igor Gilitschenski
39
1
0
11 Oct 2024
Neuroplastic Expansion in Deep Reinforcement Learning
Neuroplastic Expansion in Deep Reinforcement Learning
Jiashun Liu
J. Obando-Ceron
Aaron C. Courville
L. Pan
31
3
0
10 Oct 2024
Improving Deep Reinforcement Learning by Reducing the Chain Effect of
  Value and Policy Churn
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn
Hongyao Tang
Glen Berseth
OffRL
40
1
0
07 Sep 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
27
16
0
25 May 2024
Which Experiences Are Influential for RL Agents? Efficiently Estimating
  The Influence of Experiences
Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences
Takuya Hiraoka
Guanquan Wang
Takashi Onishi
Yoshimasa Tsuruoka
24
0
0
23 May 2024
Dissecting Deep RL with High Update Ratios: Combatting Value Divergence
Dissecting Deep RL with High Update Ratios: Combatting Value Divergence
Marcel Hussing
C. Voelcker
Igor Gilitschenski
Amir-massoud Farahmand
Eric Eaton
26
3
0
09 Mar 2024
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual
  Reinforcement Learning
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning
Hongjoon Ahn
Jinu Hyeon
Youngmin Oh
Bosun Hwang
Taesup Moon
CLL
OnRL
18
2
0
08 Mar 2024
PLASTIC: Improving Input and Label Plasticity for Sample Efficient
  Reinforcement Learning
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning
Hojoon Lee
Hanseul Cho
Hyunseung Kim
Daehoon Gwak
Joonkee Kim
Jaegul Choo
Se-Young Yun
Chulhee Yun
OffRL
69
25
0
19 Jun 2023
The Primacy Bias in Deep Reinforcement Learning
The Primacy Bias in Deep Reinforcement Learning
Evgenii Nikishin
Max Schwarzer
P. DÓro
Pierre-Luc Bacon
Aaron C. Courville
OnRL
83
178
0
16 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
24
16
0
07 Oct 2021
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