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. 2002.12174
  4. Cited By
Optimistic Exploration even with a Pessimistic Initialisation

Optimistic Exploration even with a Pessimistic Initialisation

26 February 2020
Tabish Rashid
Bei Peng
Wendelin Bohmer
Shimon Whiteson
    OffRL
    OnRL
ArXivPDFHTML

Papers citing "Optimistic Exploration even with a Pessimistic Initialisation"

8 / 8 papers shown
Title
Exploration by Random Distribution Distillation
Exploration by Random Distribution Distillation
Zhirui Fang
Kai Yang
Jian Tao
Jiafei Lyu
Lusong Li
Li Shen
Xiu Li
14
0
0
16 May 2025
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate
  Exploration Bias
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias
Max Sobol Mark
Archit Sharma
Fahim Tajwar
Rafael Rafailov
Sergey Levine
Chelsea Finn
OffRL
OnRL
34
1
0
12 Oct 2023
Learning to Act with Affordance-Aware Multimodal Neural SLAM
Learning to Act with Affordance-Aware Multimodal Neural SLAM
Zhiwei Jia
Kaixiang Lin
Yizhou Zhao
Qiaozi Gao
Govind Thattai
Gaurav Sukhatme
LM&Ro
31
15
0
24 Jan 2022
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning
Jinning Li
Chen Tang
Masayoshi Tomizuka
Wei Zhan
OffRL
19
21
0
09 Nov 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
37
80
0
01 Sep 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu
Unnat Jain
Raymond A. Yeh
Alex Schwing
42
104
0
23 Jul 2021
Principled Exploration via Optimistic Bootstrapping and Backward
  Induction
Principled Exploration via Optimistic Bootstrapping and Backward Induction
Chenjia Bai
Lingxiao Wang
Lei Han
Jianye Hao
Animesh Garg
Peng Liu
Zhaoran Wang
OffRL
21
38
0
13 May 2021
Decoupled Exploration and Exploitation Policies for Sample-Efficient
  Reinforcement Learning
Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning
William F. Whitney
Michael Bloesch
Jost Tobias Springenberg
A. Abdolmaleki
Kyunghyun Cho
Martin Riedmiller
OffRL
29
13
0
23 Jan 2021
1