Title
LLM Augmented Hierarchical Agents Bharat Prakash Tim Oates T. Mohsenin 24 4 0 09 Nov 2023
Real-Time Recurrent Reinforcement Learning Julian Lemmel Radu Grosu 34 2 0 08 Nov 2023
Handover Protocol Learning for LEO Satellite Networks: Access Delay and Collision Minimization Ju-Hyung Lee C. Park Soohyun Park A. Molisch 18 8 0 31 Oct 2023
Improving Intrinsic Exploration by Creating Stationary Objectives Roger Creus Castanyer Javier Civera Taihú Pire OffRL 37 3 0 27 Oct 2023
DSAC-C: Constrained Maximum Entropy for Robust Discrete Soft-Actor Critic Dexter Neo Tsuhan Chen 30 1 0 26 Oct 2023
Combining Behaviors with the Successor Features Keyboard Wilka Carvalho Andre Saraiva Angelos Filos Andrew Kyle Lampinen Loic Matthey Richard L. Lewis Honglak Lee Satinder Singh Danilo Jimenez Rezende Daniel Zoran 18 3 0 24 Oct 2023
μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog computing Environments M. Goudarzi M. A. Rodriguez Majid Sarvi Rajkumar Buyya OffRL 22 1 0 13 Oct 2023
Cross-Episodic Curriculum for Transformer Agents Lucy Xiaoyang Shi Yunfan Jiang Jake Grigsby Linxi "Jim" Fan Yuke Zhu 30 5 0 12 Oct 2023
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios Yazhe Niu Yuan Pu Zhenjie Yang Xueyan Li Tong Zhou Jiyuan Ren Shuai Hu Hongsheng Li Yu Liu 98 12 0 12 Oct 2023
GROOT: Learning to Follow Instructions by Watching Gameplay Videos Shaofei Cai Bowei Zhang Zihao Wang Xiaojian Ma Guy Van den Broeck Yitao Liang 83 26 0 12 Oct 2023
Understanding and Controlling a Maze-Solving Policy Network Ulisse Mini Peli Grietzer Mrinank Sharma Austin Meek M. MacDiarmid Alexander Matt Turner 14 15 0 12 Oct 2023
RoboHive: A Unified Framework for Robot Learning Vikash Kumar Rutav Shah Gaoyue Zhou Vincent Moens Vittorio Caggiano Jay Vakil Abhishek Gupta Aravind Rajeswaran 24 22 0 10 Oct 2023
Confronting Reward Model Overoptimization with Constrained RLHF Ted Moskovitz Aaditya K. Singh DJ Strouse T. Sandholm Ruslan Salakhutdinov Anca D. Dragan Stephen Marcus McAleer 41 48 0 06 Oct 2023
Small batch deep reinforcement learning J. Obando-Ceron Marc G. Bellemare Pablo Samuel Castro VLM 34 14 0 05 Oct 2023
Neural architecture impact on identifying temporally extended Reinforcement Learning tasks Victor Vadakechirayath George OffRL 13 0 0 04 Oct 2023
Learning Diverse Skills for Local Navigation under Multi-constraint Optimality Jin Cheng Marin Vlastelica Pavel Kolev Chenhao Li Georg Martius 43 6 0 03 Oct 2023
Algebras of actions in an agent's representations of the world Alexander Dean Eduardo Alonso Esther Mondragón 35 0 0 02 Oct 2023
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform Shengyi Huang Jiayi Weng Rujikorn Charakorn Min Lin Zhongwen Xu Santiago Ontañón 25 3 0 29 Sep 2023
Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents Marco Pleines Matthias Pallasch Frank Zimmer Mike Preuss OffRL 29 0 0 29 Sep 2023
Controlling Continuous Relaxation for Combinatorial Optimization Yuma Ichikawa 32 4 0 29 Sep 2023
RLLTE: Long-Term Evolution Project of Reinforcement Learning Tao Lv Zequn Zhang Yang Xu Shihao Luo Bo Li Xin Jin Wenjun Zeng OffRL 37 1 0 28 Sep 2023
Distill Knowledge in Multi-task Reinforcement Learning with Optimal-Transport Regularization Bang Giang Le Viet-Cuong Ta OT 39 1 0 27 Sep 2023
Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning L. Govindarajan Rex G Liu Drew Linsley A. Ashok Max Reuter M. Frank Thomas Serre OffRL 21 0 0 22 Sep 2023
Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future Yan Song He Jiang Haifeng Zhang Zheng Tian Weinan Zhang Jun Wang OffRL 28 8 0 22 Sep 2023
Hierarchical reinforcement learning with natural language subgoals Arun Ahuja Kavya Kopparapu Rob Fergus Ishita Dasgupta 26 1 0 20 Sep 2023
RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking Homanga Bharadhwaj Jay Vakil Mohit Sharma Abhi Gupta Shubham Tulsiani Vikash Kumar LM&Ro 21 117 0 05 Sep 2023
LoopTune: Optimizing Tensor Computations with Reinforcement Learning Dejan Grubisic Bram Wasti Chris Cummins John Mellor-Crummey A. Zlateski 27 0 0 04 Sep 2023
Neurosymbolic Reinforcement Learning and Planning: A Survey Kamal Acharya Waleed Raza Carlos Dourado Alvaro Velasquez Houbing Song NAI OffRL 32 16 0 02 Sep 2023
D-VAT: End-to-End Visual Active Tracking for Micro Aerial Vehicles Alberto Dionigi Simone Felicioni Mirko Leomanni G. Costante 15 9 0 31 Aug 2023
Cyclophobic Reinforcement Learning Stefan Sylvius Wagner P. Arndt Jan Robine Stefan Harmeling 29 1 0 30 Aug 2023
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue 29 4 0 29 Aug 2023
Go Beyond Imagination: Maximizing Episodic Reachability with World Models Yao Fu Run Peng Honglak Lee 24 1 0 25 Aug 2023
Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing D. Humeniuk Foutse Khomh G. Antoniol 33 4 0 24 Aug 2023
Reinforced Self-Training (ReST) for Language Modeling Çağlar Gülçehre T. Paine S. Srinivasan Ksenia Konyushkova L. Weerts ... Chenjie Gu Wolfgang Macherey Arnaud Doucet Orhan Firat Nando de Freitas OffRL 66 278 0 17 Aug 2023
Scope Loss for Imbalanced Classification and RL Exploration Hasham Burhani Xiaolong Shi Jonathan Jaegerman Daniel Balicki 24 0 0 08 Aug 2023
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning Michaël Mathieu Sherjil Ozair Srivatsan Srinivasan Çağlar Gülçehre Shangtong Zhang ... Sergio Gomez Colmenarejo Aaron van den Oord Wojciech M. Czarnecki Nando de Freitas Oriol Vinyals OffRL 16 10 0 07 Aug 2023
Bag of Policies for Distributional Deep Exploration Asen Nachkov Luchen Li Giulia Luise Filippo Valdettaro Aldo A. Faisal OffRL 43 0 0 03 Aug 2023
Learning to Model the World with Language Jessy Lin Yuqing Du Olivia Watkins Danijar Hafner Pieter Abbeel Dan Klein Anca Dragan LM&Ro SyDa 44 51 0 31 Jul 2023
Robust Multi-Agent Reinforcement Learning with State Uncertainty Sihong He Songyang Han Sanbao Su Shuo Han Shaofeng Zou Fei Miao OOD 33 43 0 30 Jul 2023
A new Gradient TD Algorithm with only One Step-size: Convergence Rate Analysis using $L$ - $λ$ Smoothness Hengshuai Yao 21 2 0 29 Jul 2023
Thinker: Learning to Plan and Act Stephen Chung Ivan Anokhin David M. Krueger LLMAG OffRL LRM 30 5 0 27 Jul 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions Seohong Park Dibya Ghosh Benjamin Eysenbach Sergey Levine OffRL 30 47 0 22 Jul 2023
Scaling Laws for Imitation Learning in Single-Agent Games Jens Tuyls Dhruv Madeka Kari Torkkola Dean Phillips Foster Karthik R. Narasimhan Sham Kakade 34 4 0 18 Jul 2023
IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on Analyses of Interestingness Pedro Sequeira Melinda Gervasio 18 2 0 18 Jul 2023
LuckyMera: a Modular AI Framework for Building Hybrid NetHack Agents Luigi Quarantiello Simone Marzeddu Antonio Guzzi Vincenzo Lomonaco 29 0 0 17 Jul 2023
`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges during Co-production of Responsible AI Values R. Varanasi Nitesh Goyal 37 46 0 14 Jul 2023
A Survey From Distributed Machine Learning to Distributed Deep Learning Mohammad Dehghani Zahra Yazdanparast 26 0 0 11 Jul 2023
SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks Xingyu Lin John So Sashwat Mahalingam Fangchen Liu Pieter Abbeel SSL 30 22 0 07 Jul 2023
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning Seungyong Moon Junyoung Yeom Bumsoo Park Hyun Oh Song OffRL 29 3 0 07 Jul 2023
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning Qiang He Dinesh Manocha Meng Fang S. Maghsudi 34 4 0 29 Jun 2023