A survey on intrinsic motivation in reinforcement learning

19 August 2019

Papers citing "A survey on intrinsic motivation in reinforcement learning"

32 / 32 papers shown

Title
Learning to Assist Humans without Inferring Rewards Vivek Myers Evan Ellis Sergey Levine Benjamin Eysenbach Anca Dragan 37 2 0 17 Jan 2025
A social path to human-like artificial intelligence Edgar A. Duénez-Guzmán Suzanne Sadedin Jane X. Wang Kevin R. McKee Joel Z Leibo GNN 31 28 0 22 May 2024
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models M. Pternea Prerna Singh Abir Chakraborty Y. Oruganti M. Milletarí Sayli Bapat Kebei Jiang OffRL 21 7 0 02 Feb 2024
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 78 5 0 13 Dec 2023
SDSRA: A Skill-Driven Skill-Recombination Algorithm for Efficient Policy Learning Eric Hanchen Jiang Andrew Lizarraga 18 0 0 06 Dec 2023
Augmenting Autotelic Agents with Large Language Models Cédric Colas Laetitia Teodorescu Pierre-Yves Oudeyer Xingdi Yuan Marc-Alexandre Côté LLMAG LM&Ro 28 22 0 21 May 2023
MIMEx: Intrinsic Rewards from Masked Input Modeling Toru Lin Allan Jabri OffRL 23 6 0 15 May 2023
Guarded Policy Optimization with Imperfect Online Demonstrations Zhenghai Xue Zhenghao Peng Quanyi Li Zhihan Liu Bolei Zhou OffRL 48 10 0 03 Mar 2023
Self-supervised network distillation: an effective approach to exploration in sparse reward environments Matej Pecháč M. Chovanec Igor Farkaš 29 3 0 22 Feb 2023
Guiding Pretraining in Reinforcement Learning with Large Language Models Yuqing Du Olivia Watkins Zihan Wang Cédric Colas Trevor Darrell Pieter Abbeel Abhishek Gupta Jacob Andreas LM&Ro 21 174 0 13 Feb 2023
Intrinsic Rewards from Self-Organizing Feature Maps for Exploration in Reinforcement Learning Marius Lindegaard Hjalmar Jacob Vinje Odin Severinsen 22 2 0 06 Feb 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 37 122 0 19 Jan 2023
Foundation Models for Semantic Novelty in Reinforcement Learning Tarun Gupta Peter Karkus Tong Che Danfei Xu Marco Pavone VLM OffRL LRM 39 7 0 09 Nov 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning Andrew Zhao Matthieu Lin Yangguang Li Yong-Jin Liu Gao Huang 28 13 0 13 Oct 2022
Towards Artificial Virtuous Agents: Games, Dilemmas and Machine Learning Ajay Vishwanath E. Bøhn Ole-Christoffer Granmo Charl Maree C. Omlin AI4CE 30 5 0 30 Aug 2022
The Alignment Problem from a Deep Learning Perspective Richard Ngo Lawrence Chan Sören Mindermann 54 183 0 30 Aug 2022
On the Importance of Critical Period in Multi-stage Reinforcement Learning Junseok Park Inwoo Hwang Min Whoo Lee Hyunseok Oh Minsu Lee Youngki Lee Byoung-Tak Zhang OffRL 19 0 0 09 Aug 2022
Embodied vision for learning object representations A. Aubret Céline Teulière Jochen Triesch OCL 32 1 0 12 May 2022
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning Chenyu Sun Hangwei Qian C. Miao OffRL 24 12 0 02 May 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 23 324 0 02 May 2022
Reinforcement Learning with Intrinsic Affinity for Personalized Prosperity Management Charl Maree C. Omlin 32 1 0 20 Apr 2022
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share? Alain Andres Esther Villar-Rodriguez Javier Del Ser 19 9 0 24 Feb 2022
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 36 92 0 14 Sep 2021
BR-NS: an Archive-less Approach to Novelty Search Achkan Salehi Alexandre Coninx Stéphane Doncieux 23 6 0 08 Apr 2021
Reinforcement learning for optimization of variational quantum circuit architectures M. Ostaszewski Lea M. Trenkwalder Wojciech Masarczyk Eleanor Scerri Vedran Dunjko 27 135 0 30 Mar 2021
Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents Camilo Gordillo Joakim Bergdahl Konrad Tollmar Linus Gisslén OnRL 12 42 0 25 Mar 2021
Deep KKL: Data-driven Output Prediction for Non-Linear Systems Steeven Janny V. Andrieu Madiha Nadri Wolf Christian Wolf AI4TS 22 13 0 23 Mar 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 32 2 0 04 Jan 2021
Behaviorally Diverse Traffic Simulation via Reinforcement Learning Shinya Shiroshita Shirou Maruyama D. Nishiyama M. Castro Karim Hamzaoui Guy Rosman Jonathan A. DeCastro Kuan-Hui Lee Adrien Gaidon 26 18 0 11 Nov 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 31 79 0 17 Sep 2020
Scaling active inference Alexander Tschantz Manuel Baltieri A. Seth Christopher L. Buckley BDL AI4CE 19 68 0 24 Nov 2019
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 80 1,233 0 30 Nov 2018