Diversity is All You Need: Learning Skills without a Reward Function

16 February 2018

Abhishek Gupta

Papers citing "Diversity is All You Need: Learning Skills without a Reward Function"

50 / 260 papers shown

Title
InfoPO: On Mutual Information Maximization for Large Language Model Alignment Teng Xiao Zhen Ge Sujay Sanghavi Tian Wang Julian Katz-Samuels Marc Versage Qingjun Cui Trishul Chilimbi 31 0 0 13 May 2025
Explainable Reinforcement Learning Agents Using World Models Madhuri Singh Amal Alabdulkarim Gennie Mansi Mark O. Riedl 26 0 0 12 May 2025
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation Abdulaziz Almuzairee Rohan Patil Dwait Bhatt Henrik I. Christensen 34 0 0 07 May 2025
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection Chenran Zhao Dianxi Shi Mengzhu Wang Jianqiang Xia Huanhuan Yang Songchang Jin Shaowu Yang Chunping Qiu 45 0 0 04 May 2025
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Vincenzo De Paola Riccardo Zamboni Mirco Mutti Marcello Restelli 19 0 0 02 May 2025
Improving Human-AI Coordination through Adversarial Training and Generative Models Paresh Chaudhary Yancheng Liang Daphne Chen S. Du Natasha Jaques 71 0 0 21 Apr 2025
Reinforcement Learning from Multi-level and Episodic Human Feedback Muhammad Qasim Elahi Somtochukwu Oguchienti Maheed H. Ahmed Mahsa Ghasemi OffRL 55 0 0 20 Apr 2025
Causally Aligned Curriculum Learning Mingxuan Li Junzhe Zhang Elias Bareinboim CML 67 3 0 21 Mar 2025
Behaviour Discovery and Attribution for Explainable Reinforcement Learning Rishav Rishav Somjit Nath Vincent Michalski Samira Ebrahimi Kahou FAtt OffRL 73 0 0 19 Mar 2025
Training a Generally Curious Agent Fahim Tajwar Yiding Jiang Abitha Thankaraj Sumaita Sadia Rahman J. Zico Kolter Jeff Schneider Ruslan Salakhutdinov 126 1 0 24 Feb 2025
Skill Expansion and Composition in Parameter Space Tenglong Liu Junjie Li Yinan Zheng Haoyi Niu Yixing Lan Xin Xu Xianyuan Zhan 64 4 0 09 Feb 2025
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning Wesley A. Suttle A. Suresh Carlos Nieto-Granda OffRL 100 0 0 06 Feb 2025
Measuring Diversity of Game Scenarios Yuchen Li Ziqi Wang Qingquan Zhang Jialin Liu Qingbin Liu 65 2 0 17 Jan 2025
Learning to Assist Humans without Inferring Rewards Vivek Myers Evan Ellis Sergey Levine Benjamin Eysenbach Anca Dragan 48 3 0 17 Jan 2025
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints Pavel Kolev Marin Vlastelica Georg Martius OffRL 53 0 0 08 Jan 2025
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution Ke Xue Yutong Wang Cong Guan Lei Yuan Haobo Fu Qiang Fu Chao Qian Yang Yu 42 17 0 03 Jan 2025
Subgoal Discovery Using a Free Energy Paradigm and State Aggregations Amirhossein Mesbah Reshad Hosseini Seyed Pooya Shariatpanahi M. N. Ahmadabadi 77 0 0 21 Dec 2024
Grounding Video Models to Actions through Goal Conditioned Exploration Yunhao Luo Yilun Du LM&Ro VGen 90 1 0 11 Nov 2024
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson Qiyang Li Kevin Frans Sergey Levine SSL OffRL OnRL 59 0 0 23 Oct 2024
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
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 33 3 0 18 Jul 2024
Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods Ric De Santi Manish Prajapat Andreas Krause 38 3 0 13 Jul 2024
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey Milan Ganai Sicun Gao Sylvia Herbert 42 6 0 12 Jul 2024
Exploration by Learning Diverse Skills through Successor State Measures Paul-Antoine Le Tolguenec Yann Besse Florent Teichteil-Königsbuch Dennis G. Wilson Emmanuel Rachelson 40 0 0 14 Jun 2024
Language Guided Skill Discovery Seungeun Rho Laura Smith Tianyu Li Sergey Levine Xue Bin Peng Sehoon Ha LM&Ro 42 4 0 07 Jun 2024
Text-to-Drive: Diverse Driving Behavior Synthesis via Large Language Models Phat Nguyen Tsun-Hsuan Wang Zhang-Wei Hong S. Karaman Daniela Rus LM&Ro 45 3 0 06 Jun 2024
Do's and Don'ts: Learning Desirable Skills with Instruction Videos Hyunseung Kim ByungKun Lee Hojoon Lee Dongyoon Hwang Donghu Kim Jaegul Choo 39 1 0 01 Jun 2024
Variational Offline Multi-agent Skill Discovery Jiayu Chen Bhargav Ganguly Tian-Shing Lan OffRL 69 3 0 26 May 2024
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning Xin Liu Yaran Chen Dong Zhao 45 1 0 20 May 2024
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 29 0 0 19 Apr 2024
Effective Reinforcement Learning Based on Structural Information Principles Xianghua Zeng Hao Peng Dingli Su Angsheng Li 40 0 0 15 Apr 2024
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation Carlos Plou Ana C. Murillo Ruben Martinez-Cantin OffRL 40 0 0 02 Apr 2024
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming Hany Hamed Subin Kim Dongyeong Kim Jaesik Yoon Sungjin Ahn 47 4 0 29 Feb 2024
Align Your Intents: Offline Imitation Learning via Optimal Transport Maksim Bobrin N. Buzun Dmitrii Krylov Dmitry V. Dylov OffRL 51 3 0 20 Feb 2024
One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill Sangwoo Shin Daehee Lee Minjong Yoo Woo Kyung Kim Honguk Woo 32 10 0 13 Feb 2024
Inverse Reinforcement Learning by Estimating Expertise of Demonstrators M. Beliaev Ramtin Pedarsani 41 2 0 02 Feb 2024
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems Changshuo Zhang Sirui Chen Xiao Zhang Sunhao Dai Weijie Yu Jun Xu OffRL 37 1 0 17 Jan 2024
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning Guojian Wang Faguo Wu Xiao Zhang Ning Guo Zhiming Zheng 41 3 0 27 Dec 2023
SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution Zhixuan Liang Yao Mu Hengbo Ma Masayoshi Tomizuka Mingyu Ding Ping Luo 38 38 0 18 Dec 2023
Augmenting Unsupervised Reinforcement Learning with Self-Reference Andrew Zhao Erle Zhu Rui Lu Matthieu Lin Yong-Jin Liu Gao Huang SSL 34 1 0 16 Nov 2023
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations Xuzhe Dang Stefan Edelkamp 37 4 0 06 Nov 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills Seongun Kim Kyowoon Lee Jaesik Choi SSL DRL 41 7 0 30 Oct 2023
Iteratively Learn Diverse Strategies with State Distance Information Wei Fu Weihua Du Jingwei Li Sunli Chen Jingzhao Zhang Yi Wu 53 3 0 23 Oct 2023
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning Amey P. Pasarkar Adji Bousso Dieng 27 11 0 19 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 33 34 0 13 Oct 2023
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
Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior Ruihan Yang Zhuoqun Chen Jianhan Ma Chongyi Zheng Yiyu Chen Quan Nguyen Junfeng Fang 45 17 0 02 Oct 2023
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 40 1 0 26 Sep 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning David Yunis Justin Jung Falcon Z. Dai Matthew R. Walter OffRL 47 0 0 08 Sep 2023
Language Reward Modulation for Pretraining Reinforcement Learning Ademi Adeniji Amber Xie Carmelo Sferrazza Younggyo Seo Stephen James Pieter Abbeel 39 26 0 23 Aug 2023