Is Curiosity All You Need? On the Utility of Emergent Behaviours from
Curious Exploration

Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration

17 September 2021

Markus Wulfmeier

Vibhavari Dasagi

Martin Riedmiller

Papers citing "Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration"

12 / 12 papers shown

Title
Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning Zhihao Liu Xianliang Yang Zichuan Liu Yifan Xia Wei Jiang Yuanyu Zhang Lijuan Li Guoliang Fan Lei Song Bian Jiang LLMAG 18 1 0 27 May 2024
Data-driven Discovery with Large Generative Models Bodhisattwa Prasad Majumder Harshit Surana Dhruv Agarwal Sanchaita Hazra Ashish Sabharwal Peter Clark 32 9 0 21 Feb 2024
Regularity as Intrinsic Reward for Free Play Cansu Sancaktar J. Piater Georg Martius 26 0 0 03 Dec 2023
Towards A Unified Agent with Foundation Models Norman Di Palo Arunkumar Byravan Leonard Hasenclever Markus Wulfmeier N. Heess Martin Riedmiller LM&Ro LLMAG OffRL 22 58 0 18 Jul 2023
The Construction of Reality in an AI: A Review J. W. Johnston 3DV 8 1 0 03 Feb 2023
Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review Artem Latyshev Aleksandr I. Panov 20 1 0 24 Jan 2023
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments Daniel Jarrett Corentin Tallec Florent Altché Thomas Mesnard Rémi Munos Michal Valko 16 5 0 18 Nov 2022
A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning Qing Fu Tenghai Qiu Zhiqiang Pu Jianqiang Yi Wanmai Yuan 23 2 0 05 Aug 2022
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation Cansu Sancaktar Sebastian Blaes Georg Martius LM&Ro 6 24 0 22 Jun 2022
BYOL-Explore: Exploration by Bootstrapped Prediction Z. Guo S. Thakoor Miruna Pislar Bernardo Avila-Pires Florent Altché ... Yunhao Tang Michal Valko Rémi Munos M. G. Azar Bilal Piot 16 66 0 16 Jun 2022
The Challenges of Exploration for Offline Reinforcement Learning Nathan Lambert Markus Wulfmeier William F. Whitney Arunkumar Byravan Michael Bloesch Vibhavari Dasagi Tim Hertweck Martin Riedmiller OffRL 12 27 0 27 Jan 2022
Physical Derivatives: Computing policy gradients by physical forward-propagation Arash Mehrjou Ashkan Soleymani Stefan Bauer Bernhard Schölkopf 17 0 0 15 Jan 2022