Title
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores Zhiyu Mei Wei Fu Jiaxuan Gao Guang Wang Huanchen Zhang Yi Wu OffRL LRM 40 5 0 29 Jun 2023
Training Deep Surrogate Models with Large Scale Online Learning Lucas Meyer M. Schouler R. Caulk Alejandro Ribés Bruno Raffin 3DGS AI4CE 30 4 0 28 Jun 2023
Value-aware Importance Weighting for Off-policy Reinforcement Learning Kristopher De Asis Eric Graves R. Sutton OffRL 13 1 0 27 Jun 2023
Large Sequence Models for Sequential Decision-Making: A Survey Muning Wen Runji Lin Hanjing Wang Yaodong Yang Ying Wen Luo Mai Jun Wang Haifeng Zhang Weinan Zhang LM&Ro LRM 37 35 0 24 Jun 2023
Acceleration in Policy Optimization Veronica Chelu Tom Zahavy A. Guez Doina Precup Sebastian Flennerhag 48 0 0 18 Jun 2023
Behavioral Cloning via Search in Embedded Demonstration Dataset Federico Malato Florian Leopold Ville Hautamaki Andrew Melnik OffRL 29 3 0 15 Jun 2023
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments Quentin Delfosse Jannis Blüml Bjarne Gregori Sebastian Sztwiertnia Kristian Kersting 46 17 0 14 Jun 2023
Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second Vincent-Pierre Berges Andrew Szot Devendra Singh Chaplot Aaron Gokaslan Roozbeh Mottaghi Dhruv Batra Eric Undersander LRM LM&Ro 40 5 0 13 Jun 2023
Diverse Projection Ensembles for Distributional Reinforcement Learning Moritz A. Zanger Wendelin Bohmer M. Spaan 33 4 0 12 Jun 2023
Design Principles for Model Generalization and Scalable AI Integration in Radio Access Networks Pablo Soldati E. Ghadimi Burak Demirel Yu Wang Raimundas Gaigalas Mathias Sintorn 11 3 0 09 Jun 2023
On the Importance of Exploration for Generalization in Reinforcement Learning Yiding Jiang J. Zico Kolter Roberta Raileanu UQCV OffRL 34 20 0 08 Jun 2023
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards Alexandre Ramé Guillaume Couairon Mustafa Shukor Corentin Dancette Jean-Baptiste Gaya Laure Soulier Matthieu Cord MoMe 35 136 0 07 Jun 2023
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data Chongyi Zheng Benjamin Eysenbach Homer Walke Patrick Yin Kuan Fang Ruslan Salakhutdinov Sergey Levine SSL OffRL 42 4 0 06 Jun 2023
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs Mikael Henaff Minqi Jiang Roberta Raileanu 46 13 0 05 Jun 2023
Explore to Generalize in Zero-Shot RL E. Zisselman Itai Lavie Daniel Soudry Aviv Tamar 31 15 0 05 Jun 2023
Evaluating Continual Learning on a Home Robot Sam Powers Abhi Gupta Chris Paxton CLL 36 3 0 04 Jun 2023
TorchRL: A data-driven decision-making library for PyTorch Albert Bou Matteo Bettini Sebastian Dittert Vikash Kumar Shagun Sodhani Xiaomeng Yang Gianni De Fabritiis Vincent Moens OffRL AI4CE 30 37 0 01 Jun 2023
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration Dongyoung Kim Jinwoo Shin Pieter Abbeel Younggyo Seo 32 19 0 31 May 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency Max Schwarzer J. Obando-Ceron Rameswar Panda Marc G. Bellemare Rishabh Agarwal Pablo Samuel Castro OffRL 54 85 0 30 May 2023
Exploring the Promise and Limits of Real-Time Recurrent Learning Kazuki Irie Anand Gopalakrishnan Jürgen Schmidhuber 32 15 0 30 May 2023
Doing the right thing for the right reason: Evaluating artificial moral cognition by probing cost insensitivity Yiran Mao Madeline G. Reinecke M. Kunesch Edgar A. Duénez-Guzmán Ramona Comanescu Julia Haas Joel Z. Leibo 40 2 0 29 May 2023
RLAD: Reinforcement Learning from Pixels for Autonomous Driving in Urban Environments Daniel Coelho Miguel Oliveira Vítor M. F. Santos 25 3 0 29 May 2023
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm Yunhao Tang Tadashi Kozuno Mark Rowland Anna Harutyunyan Rémi Munos Bernardo Avila-Pires Michal Valko 11 0 0 29 May 2023
Coherent Soft Imitation Learning Joe Watson Sandy H. Huang Nicholas Heess 36 11 0 25 May 2023
Deep Reinforcement Learning with Plasticity Injection Evgenii Nikishin Junhyuk Oh Georg Ostrovski Clare Lyle Razvan Pascanu Will Dabney André Barreto OffRL 26 50 0 24 May 2023
Barkour: Benchmarking Animal-level Agility with Quadruped Robots Ken Caluwaerts Atil Iscen J. Kew Wenhao Yu Tingnan Zhang ... J. Seto Carolina Parada Vikas Sindhwani Vincent Vanhoucke Jie Tan 27 59 0 24 May 2023
Co-Learning Empirical Games and World Models Max O. Smith Michael P. Wellman 24 2 0 23 May 2023
Policy Representation via Diffusion Probability Model for Reinforcement Learning Long Yang Zhixiong Huang Fenghao Lei Yucun Zhong Yiming Yang Cong Fang Shiting Wen Binbin Zhou Zhouchen Lin DiffM 41 40 0 22 May 2023
Learning Diverse Risk Preferences in Population-based Self-play Y. Jiang Qihan Liu Xiaoteng Ma Chenghao Li Yiqin Yang Jun Yang Bin Liang Qianchuan Zhao 54 5 0 19 May 2023
Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks Saptarshi Nath Christos Peridis Eseoghene Ben-Iwhiwhu Xinran Liu Shirin Dora Cong Liu Soheil Kolouri Andrea Soltoggio CLL 33 8 0 18 May 2023
The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond Jiin Woo Gauri Joshi Yuejie Chi FedML 35 19 0 18 May 2023
An Empirical Study on Google Research Football Multi-agent Scenarios Yan Song He Jiang Zheng Tian Haifeng Zhang Yingping Zhang Jiangcheng Zhu Zonghong Dai Weinan Zhang Jun Wang 47 5 0 16 May 2023
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation Yifei Min Jiafan He Tianhao Wang Quanquan Gu 38 7 0 10 May 2023
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection Jiajun Fan Yuzheng Zhuang Yuecheng Liu Jianye Hao Bin Wang Jiangcheng Zhu Hao Wang Shutao Xia 34 17 0 09 May 2023
Truncating Trajectories in Monte Carlo Reinforcement Learning Riccardo Poiani Alberto Maria Metelli Marcello Restelli 26 2 0 07 May 2023
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity Jinghao Xin Jinwoo Kim Zhiyu Li Ning Li OffRL 28 3 0 07 May 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning Dayuan Chen Jian Zhang Yuqian Lv Jinhuan Wang Hongjie Ni Shanqing Yu Zhen Wang Qi Xuan AAML 33 3 0 04 May 2023
Unlocking the Power of Representations in Long-term Novelty-based Exploration Alaa Saade Steven Kapturowski Daniele Calandriello Charles Blundell Pablo Sprechmann Leopoldo Sarra Oliver Groth Michal Valko Bilal Piot OffRL 37 6 0 02 May 2023
Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas Udari Madhushani Kevin R. McKee J. Agapiou Joel Z. Leibo Richard Everett Thomas W. Anthony Edward Hughes K. Tuyls Edgar A. Duénez-Guzmán 49 2 0 01 May 2023
Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition Yash Chandak S. Thakoor Z. Guo Yunhao Tang Rémi Munos Will Dabney Diana Borsa 24 2 0 01 May 2023
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward Zihan Zhou Animesh Garg OffRL 27 3 0 30 Apr 2023
Fundamental Tradeoffs in Learning with Prior Information Anirudha Majumdar 32 0 0 26 Apr 2023
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks Jesse Farebrother Joshua Greaves Rishabh Agarwal Charline Le Lan Ross Goroshin Pablo Samuel Castro Marc G. Bellemare 54 25 0 25 Apr 2023
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards Shanchuan Wan Yujin Tang Yingtao Tian Tomoyuki Kaneko OffRL 22 4 0 21 Apr 2023
Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments Alain Andres Lukas Schafer Esther Villar-Rodriguez Stefano V. Albrecht Javier Del Ser OffRL OnRL 34 2 0 18 Apr 2023
Efficient Automation of Neural Network Design: A Survey on Differentiable Neural Architecture Search Alexandre Heuillet A. Nasser Hichem Arioui Hedi Tabia AI4CE 35 12 0 11 Apr 2023
Reinforcement Learning from Passive Data via Latent Intentions Dibya Ghosh Chethan Bhateja Sergey Levine OffRL 33 44 0 10 Apr 2023
Planning with Sequence Models through Iterative Energy Minimization Hongyi Chen Yilun Du Yiye Chen J. Tenenbaum Patricio A. Vela 32 6 0 28 Mar 2023
marl-jax: Multi-Agent Reinforcement Leaning Framework K. Mehta Anuj Mahajan Kiran Ravish 34 3 0 24 Mar 2023
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning Shuhan Qi Shuhao Zhang Qiang-qiang Wang Jia-jia Zhang Jing Xiao Xihuai Wang 34 0 0 16 Mar 2023