ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.09163
  4. Cited By
D2RL: Deep Dense Architectures in Reinforcement Learning

D2RL: Deep Dense Architectures in Reinforcement Learning

19 October 2020
Samarth Sinha
Homanga Bharadhwaj
A. Srinivas
Animesh Garg
    OffRL
    AI4CE
ArXivPDFHTML

Papers citing "D2RL: Deep Dense Architectures in Reinforcement Learning"

12 / 12 papers shown
Title
DextrAH-RGB: Visuomotor Policies to Grasp Anything with Dexterous Hands
DextrAH-RGB: Visuomotor Policies to Grasp Anything with Dexterous Hands
Ritvik Singh
Arthur Allshire
Ankur Handa
Nathan D. Ratliff
Karl Van Wyk
76
8
0
27 Nov 2024
Shrink-Perturb Improves Architecture Mixing during Population Based
  Training for Neural Architecture Search
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search
A. Chebykin
A. Dushatskiy
Tanja Alderliesten
Peter A. N. Bosman
39
0
0
28 Jul 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency
Bigger, Better, Faster: Human-level Atari with human-level efficiency
Max Schwarzer
J. Obando-Ceron
Aaron C. Courville
Marc G. Bellemare
Rishabh Agarwal
Pablo Samuel Castro
OffRL
48
82
0
30 May 2023
Provable and Practical: Efficient Exploration in Reinforcement Learning
  via Langevin Monte Carlo
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
Haque Ishfaq
Qingfeng Lan
Pan Xu
A. R. Mahmood
Doina Precup
Anima Anandkumar
Kamyar Azizzadenesheli
BDL
OffRL
28
20
0
29 May 2023
Revisiting the Minimalist Approach to Offline Reinforcement Learning
Revisiting the Minimalist Approach to Offline Reinforcement Learning
Denis Tarasov
Vladislav Kurenkov
Alexander Nikulin
Sergey Kolesnikov
OffRL
30
36
0
16 May 2023
A Survey on Transformers in Reinforcement Learning
A Survey on Transformers in Reinforcement Learning
Wenzhe Li
Hao Luo
Zichuan Lin
Chongjie Zhang
Zongqing Lu
Deheng Ye
OffRL
MU
AI4CE
37
55
0
08 Jan 2023
Overcoming the Spectral Bias of Neural Value Approximation
Overcoming the Spectral Bias of Neural Value Approximation
Ge Yang
Anurag Ajay
Pulkit Agrawal
32
25
0
09 Jun 2022
Policy Architectures for Compositional Generalization in Control
Policy Architectures for Compositional Generalization in Control
Allan Zhou
Vikash Kumar
Chelsea Finn
Aravind Rajeswaran
20
22
0
10 Mar 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
Hierarchical Skills for Efficient Exploration
Hierarchical Skills for Efficient Exploration
Jonas Gehring
Gabriel Synnaeve
Andreas Krause
Nicolas Usunier
28
40
0
20 Oct 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal
Max Schwarzer
Pablo Samuel Castro
Aaron Courville
Marc G. Bellemare
OffRL
53
633
0
30 Aug 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement
  Learning
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning
Samarth Sinha
Ajay Mandlekar
Animesh Garg
OffRL
26
104
0
10 Mar 2021
1