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DORA The Explorer: Directed Outreaching Reinforcement Action-Selection

DORA The Explorer: Directed Outreaching Reinforcement Action-Selection

11 April 2018
Leshem Choshen
Lior Fox
Y. Loewenstein
    OffRL
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Papers citing "DORA The Explorer: Directed Outreaching Reinforcement Action-Selection"

12 / 12 papers shown
Title
Optimizing TD3 for 7-DOF Robotic Arm Grasping: Overcoming Suboptimality
  with Exploration-Enhanced Contrastive Learning
Optimizing TD3 for 7-DOF Robotic Arm Grasping: Overcoming Suboptimality with Exploration-Enhanced Contrastive Learning
Wen-Han Hsieh
Jen-Yuan Chang
26
0
0
26 Aug 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
Haozhe Ma
Zhengding Luo
Thanh Vinh Vo
Kuankuan Sima
Tze-Yun Leong
46
6
0
06 Aug 2024
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned
  Reinforcement Learning
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning
Lisheng Wu
Ke Chen
31
0
0
19 Apr 2024
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic
  Forgetting in Curiosity
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity
Jaedong Hwang
Zhang-Wei Hong
Eric Chen
Akhilan Boopathy
Pulkit Agrawal
Ila Fiete
CLL
46
5
0
26 Oct 2023
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Daniel Jarrett
Corentin Tallec
Florent Altché
Thomas Mesnard
Rémi Munos
Michal Valko
48
5
0
18 Nov 2022
Foundation Models for Semantic Novelty in Reinforcement Learning
Foundation Models for Semantic Novelty in Reinforcement Learning
Tarun Gupta
Peter Karkus
Tong Che
Danfei Xu
Marco Pavone
VLM
OffRL
LRM
45
7
0
09 Nov 2022
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
D. Tiapkin
Denis Belomestny
Eric Moulines
A. Naumov
S. Samsonov
Yunhao Tang
Michal Valko
Pierre Menard
31
17
0
16 May 2022
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
38
93
0
14 Sep 2021
Learning from Demonstration without Demonstrations
Learning from Demonstration without Demonstrations
Tom Blau
Gilad Francis
Philippe Morere
OffRL
24
1
0
17 Jun 2021
Sample-efficient Reinforcement Learning Representation Learning with
  Curiosity Contrastive Forward Dynamics Model
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model
Thanh Nguyen
Tung M. Luu
Thang Vu
Chang D. Yoo
23
17
0
15 Mar 2021
On the Weaknesses of Reinforcement Learning for Neural Machine
  Translation
On the Weaknesses of Reinforcement Learning for Neural Machine Translation
Leshem Choshen
Lior Fox
Zohar Aizenbud
Omri Abend
26
104
0
03 Jul 2019
Amplifying the Imitation Effect for Reinforcement Learning of UCAV's
  Mission Execution
Amplifying the Imitation Effect for Reinforcement Learning of UCAV's Mission Execution
G. Lee
Chang Ouk Kim
18
4
0
17 Jan 2019
1