Title
Deep reinforcement learning-based longitudinal control strategy for automated vehicles at signalised intersections Pankaj Kumar Aditya Mishra Pranamesh Chakraborty Subrahmanya Swamy Peruru 19 0 0 13 May 2025
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review Chengmin Zhou Ville Kyrki Pasi Fränti Laura Ruotsalainen BDL AI4CE 42 0 0 12 May 2025
CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations Anthony Liang Pavel Czempin Matthew Hong Yutai Zhou Erdem Biyik Stephen Tu 47 0 0 08 May 2025
Onboard Optimization and Learning: A Survey Monirul Islam Pavel Siyi Hu Mahardhika Pratama Ryszard Kowalczyk 26 0 0 07 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
Learning to Drive from a World Model Mitchell Goff Greg Hogan George Hotz Armand du Parc Locmaria Kacper Raczy Harald Schäfer Adeeb Shihadeh Weixing Zhang Yassine Yousfi 39 0 0 27 Apr 2025
Using Reinforcement Learning to Integrate Subjective Wellbeing into Climate Adaptation Decision Making Arthur Vandervoort Miguel Costa Morten W. Petersen Martin Drews Sonja Haustein Karyn Morrissey Francisco C. Pereira 29 0 0 14 Apr 2025
Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning Tien Pham Angelo Cangelosi 31 0 0 14 Apr 2025
Momentum Boosted Episodic Memory for Improving Learning in Long-Tailed RL Environments Dolton Fernandes Pramod Kaushik Harsh Shukla Bapi Raju Surampudi 19 0 0 08 Apr 2025
World Model Agents with Change-Based Intrinsic Motivation Jeremias Ferrao Rafael Cunha OffRL MoE 57 0 0 26 Mar 2025
CAE: Repurposing the Critic as an Explorer in Deep Reinforcement Learning Yexin Li Pring Wong Hanfang Zhang Shuo Chen Siyuan Qi OffRL 54 0 0 23 Mar 2025
1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities Kevin Wang Ishaan Javali Michał Bortkiewicz Tomasz Trzciñski Benjamin Eysenbach SSL OffRL 72 0 0 19 Mar 2025
SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas Zihao Guo Richard Willis Richard Willis Tristan Tomilin Joel Z Leibo Yali Du 58 0 0 18 Mar 2025
Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs Nicolas Le Roux Marc G. Bellemare Jonathan Lebensold Arnaud Bergeron Joshua Greaves Alex Fréchette Carolyne Pelletier Eric Thibodeau-Laufer Sándor Toth Sam Work OffRL 91 2 0 18 Mar 2025
Agents Play Thousands of 3D Video Games Zhongwen Xu Xianliang Wang Siyi Li Tao Yu Liang Wang Qiang Fu Wei Yang LM&Ro 52 0 0 17 Mar 2025
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model Moritz A. Zanger Pascal R. van der Vaart Wendelin Bohmer M. Spaan UQCV BDL 173 0 0 14 Mar 2025
Impoola: The Power of Average Pooling for Image-Based Deep Reinforcement Learning Raphael Trumpp Ansgar Schäfftlein Mirco Theile Marco Caccamo 39 0 0 07 Mar 2025
Eau De $Q$ -Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning Théo Vincent Tim Lukas Faust Yogesh Tripathi Jan Peters Carlo DÉramo 42 0 0 03 Mar 2025
Multi-Agent Reinforcement Learning with Long-Term Performance Objectives for Service Workforce Optimization Kareem Eissa Rayal Prasad Sarith Mohan Ankur Kapoor Dorin Comaniciu V. Singh 44 0 0 03 Mar 2025
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies Zhouyu He Peng Qiao Rongchun Li Yong Dou Yusong Tan OffRL 59 0 0 27 Feb 2025
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents Taiyi Wang Zhihao Wu Jianheng Liu Jianye Hao Jun Wang Kun Shao OffRL 41 13 0 24 Feb 2025
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks Thomas Schmied Thomas Adler Vihang Patil M. Beck Korbinian Poppel Johannes Brandstetter G. Klambauer Razvan Pascanu Sepp Hochreiter 75 5 0 21 Feb 2025
Comply: Learning Sentences with Complex Weights inspired by Fruit Fly Olfaction Alexei Figueroa Justus Westerhoff Golzar Atefi Dennis Fast B. Winter Felix Alexader Gers Alexander Loser Wolfang Nejdl 57 0 0 03 Feb 2025
Divergence-Augmented Policy Optimization Qing Wang Yingru Li Jiechao Xiong Tong Zhang OffRL 47 16 0 28 Jan 2025
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning Bowen Zheng Ran Cheng Kay Chen Tan 42 0 0 25 Jan 2025
Adaptive Data Exploitation in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 201 0 0 22 Jan 2025
Highway Graph to Accelerate Reinforcement Learning Zidu Yin Zhen Zhang Dong Gong Stefano V. Albrecht J. Q. Shi OffRL 39 0 0 08 Jan 2025
PIMAEX: Multi-Agent Exploration through Peer Incentivization Michael Kolle Johannes Tochtermann Julian Schonberger Gerhard Stenzel Philipp Altmann Claudia Linnhoff-Popien 41 0 0 03 Jan 2025
Reinforcement Learning with a Focus on Adjusting Policies to Reach Targets Akane Tsuboya Yu Kono Tatsuji Takahashi 31 0 0 23 Dec 2024
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Matthew D Riemer G. Subbaraj Glen Berseth Irina Rish OffRL 77 1 0 18 Dec 2024
When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Tongzhou Mu Zhaoyang Li Stanisław Wiktor Strzelecki Xiu Yuan Yunchao Yao Litian Liang H. Su OffRL 82 2 0 18 Dec 2024
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Eliot Xing Vernon Luk Jean Oh 84 0 0 16 Dec 2024
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos Xin Liu Yaran Chen Haoran Li SSL 94 0 0 14 Dec 2024
Bilinear Convolution Decomposition for Causal RL Interpretability Narmeen Oozeer Sinem Erisken Alice Rigg 65 0 0 01 Dec 2024
ReinFog: A DRL Empowered Framework for Resource Management in Edge and Cloud Computing Environments Zhiyu Wang M. Goudarzi Rajkumar Buyya 77 0 0 20 Nov 2024
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers Jake Grigsby Justin Sasek Samyak Parajuli Daniel Adebi Amy Zhang Yuke Zhu OffRL 26 3 0 17 Nov 2024
Scaling Laws for Pre-training Agents and World Models Tim Pearce Tabish Rashid Dave Bignell Raluca Georgescu Sam Devlin Katja Hofmann LM&Ro 42 6 0 07 Nov 2024
Beyond The Rainbow: High Performance Deep Reinforcement Learning On A Desktop PC Tyler Clark Mark Towers Christine Evers Jonathon Hare OffRL 38 0 0 06 Nov 2024
Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data Chengrui Qu Laixi Shi Kishan Panaganti Pengcheng You Adam Wierman OffRL OnRL 38 0 0 06 Nov 2024
Sample-Efficient Alignment for LLMs Zichen Liu Changyu Chen Chao Du Wee Sun Lee Min-Bin Lin 36 3 0 03 Nov 2024
CALE: Continuous Arcade Learning Environment Jesse Farebrother Pablo Samuel Castro ELM 33 0 0 31 Oct 2024
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks Michael T. Matthews Michael Beukman Chris Xiaoxuan Lu Jakob Foerster OffRL AI4CE 36 2 0 30 Oct 2024
Predicting Future Actions of Reinforcement Learning Agents Stephen Chung Scott Niekum David M. Krueger 29 1 0 29 Oct 2024
A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications Sriniketh Vangaru Daniel Rosen Dylan Green Raphael Rodriguez Maxwell Wiecek Amos Johnson Alyse M. Jones William C. Headley 37 1 0 28 Oct 2024
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning Kaiyan Zhao Yiming Wang Yuyang Chen Yan Li Leong Hou U Xiaoguang Niu 39 1 0 27 Oct 2024
OGBench: Benchmarking Offline Goal-Conditioned RL Seohong Park Kevin Frans Benjamin Eysenbach Sergey Levine OffRL 50 9 0 26 Oct 2024
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models Michael Noukhovitch Shengyi Huang Sophie Xhonneux Arian Hosseini Rishabh Agarwal Rameswar Panda OffRL 82 5 0 23 Oct 2024
Towards Map-Agnostic Policies for Adaptive Informative Path Planning Julius Ruckin David Morilla-Cabello C. Stachniss Eduardo Montijano Marija Popović 36 0 0 22 Oct 2024
TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments Zhiyu Wang M. Goudarzi Rajkumar Buyya OffRL 35 3 0 18 Oct 2024
Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions Ayush Jain Norio Kosaka Xinhu Li Kyung-Min Kim Erdem Bıyık Joseph J. Lim OffRL 21 0 0 15 Oct 2024