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Diversity-Driven Exploration Strategy for Deep Reinforcement Learning

Diversity-Driven Exploration Strategy for Deep Reinforcement Learning

13 February 2018
Zhang-Wei Hong
Tzu-Yun Shann
Shih-Yang Su
Yi-Hsiang Chang
Chun-Yi Lee
ArXivPDFHTML

Papers citing "Diversity-Driven Exploration Strategy for Deep Reinforcement Learning"

5 / 5 papers shown
Title
Improving Human-AI Coordination through Adversarial Training and Generative Models
Improving Human-AI Coordination through Adversarial Training and Generative Models
Paresh Chaudhary
Yancheng Liang
Daphne Chen
S. Du
Natasha Jaques
75
1
0
21 Apr 2025
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions
Changle Qu
Sunhao Dai
Xiaochi Wei
Hengyi Cai
Shuaiqiang Wang
Dawei Yin
Jun Xu
Ji-Rong Wen
66
10
0
10 Oct 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
67
6
0
06 Aug 2024
Random Latent Exploration for Deep Reinforcement Learning
Random Latent Exploration for Deep Reinforcement Learning
Srinath Mahankali
Zhang-Wei Hong
Ayush Sekhari
Alexander Rakhlin
Pulkit Agrawal
66
3
0
18 Jul 2024
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRM
SSL
85
2,416
0
15 May 2017
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