Title
Active Alignments of Lens Systems with Reinforcement Learning Matthias Burkhardt Tobias Schmähling Michael Layh Tobias Windisch 39 0 0 03 Mar 2025
On Generalization Across Environments In Multi-Objective Reinforcement Learning Jayden Teoh Pradeep Varakantham Peter Vamplew OffRL 34 1 0 02 Mar 2025
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning Shangding Gu Laixi Shi Muning Wen Ming Jin Eric Mazumdar Yuejie Chi Adam Wierman C. Spanos OOD OffRL 36 2 0 27 Feb 2025
A Distributional Treatment of Real2Sim2Real for Vision-Driven Deformable Linear Object Manipulation Georgios Kamaras Subramanian Ramamoorthy 39 0 0 25 Feb 2025
A Simulation Pipeline to Facilitate Real-World Robotic Reinforcement Learning Applications Jefferson Silveira Joshua A. Marshall Sidney N. Givigi Jr 64 0 0 24 Feb 2025
Hyperspherical Normalization for Scalable Deep Reinforcement Learning Hojoon Lee Youngdo Lee Takuma Seno Donghu Kim Peter Stone Jaegul Choo 63 1 0 24 Feb 2025
Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network Vincent Hsiao Mark Roberts Laura M. Hiatt George Konidaris Dana Nau 39 0 0 21 Feb 2025
SpikeRL: A Scalable and Energy-efficient Framework for Deep Spiking Reinforcement Learning Tokey Tahmid Mark Gates P. Luszczek Catherine D. Schuman 38 0 0 21 Feb 2025
Massively Scaling Explicit Policy-conditioned Value Functions Nico Bohlinger Jan Peters OffRL 68 0 0 17 Feb 2025
Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning Egor Cherepanov Nikita Kachaev A. Kovalev Aleksandr I. Panov OffRL 41 0 0 14 Feb 2025
Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains Manon Flageat J. Huber François Hélénon Stéphane Doncieux Antoine Cully 55 0 0 10 Feb 2025
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning Donglin Zhan Leonardo F. Toso James Anderson 101 1 0 04 Feb 2025
Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning Zeyu Jiang Hai Huang Xingquan Zuo OffRL 60 0 0 02 Feb 2025
Towards General-Purpose Model-Free Reinforcement Learning Scott Fujimoto P. DÓro Amy Zhang Yuandong Tian Michael Rabbat OffRL 41 3 0 28 Jan 2025
GREEN-CODE: Learning to Optimize Energy Efficiency in LLM-based Code Generation Shashikant Ilager Lukas Florian Briem Ivona Brandić 38 0 0 19 Jan 2025
Average-Reward Reinforcement Learning with Entropy Regularization Jacob Adamczyk Volodymyr Makarenko Stas Tiomkin R. Kulkarni OOD 61 2 0 17 Jan 2025
An Empirical Study of Deep Reinforcement Learning in Continuing Tasks Yi Wan D. Korenkevych Zheqing Zhu OffRL CLL 55 0 0 12 Jan 2025
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Matthew D Riemer G. Subbaraj Glen Berseth Irina Rish OffRL 85 1 0 18 Dec 2024
Cooperative Cruising: Reinforcement Learning-Based Time-Headway Control for Increased Traffic Efficiency Yaron Veksler Sharon Hornstein Han Wang M. D. Monache Daniel Urieli 62 0 0 03 Dec 2024
A Cross-Scene Benchmark for Open-World Drone Active Tracking Haowei Sun Jinwu Hu Zhirui Zhang Haoyuan Tian Xinze Xie Yufeng Wang Zhuliang Yu Xiaohua Xie Mingkui Tan 75 0 0 01 Dec 2024
AMaze: An intuitive benchmark generator for fast prototyping of generalizable agents Kevin Godin-Dubois Karine Miras Anna V. Kononova 76 0 0 20 Nov 2024
Robust Defense Against Extreme Grid Events Using Dual-Policy Reinforcement Learning Agents Benjamin M. Peter Mert Korkali 28 0 0 17 Nov 2024
Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis Zahra Koulaeizadeh Erhan Oztop 26 0 0 17 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
Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-Stationarity Emiliyan Gospodinov Vaisakh Shaj P. Becker Stefan Geyer Gerhard Neumann 34 0 0 02 Nov 2024
OGBench: Benchmarking Offline Goal-Conditioned RL Seohong Park Kevin Frans Benjamin Eysenbach Sergey Levine OffRL 62 10 0 26 Oct 2024
AgentForge: A Flexible Low-Code Platform for Reinforcement Learning Agent Design Francisco Erivaldo Fernandes Junior Antti Oulasvirta 167 0 0 25 Oct 2024
Entity-based Reinforcement Learning for Autonomous Cyber Defence Isaac Symes Thompson Alberto Caron Chris Hicks V. Mavroudis AAML 51 3 0 23 Oct 2024
Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 Games Kimiya Saadat Richard Zhao 37 0 0 22 Oct 2024
Benchmarking Deep Reinforcement Learning for Navigation in Denied Sensor Environments Mariusz Wisniewski Paraskevas Chatzithanos Weisi Guo Antonios Tsourdos 38 3 0 18 Oct 2024
Streaming Deep Reinforcement Learning Finally Works Mohamed Elsayed Gautham Vasan A. R. Mahmood OffRL 50 4 0 18 Oct 2024
A Probabilistic Model for Skill Acquisition with Switching Latent Feedback Controllers Juyan Zhang Dana Kulić Michael Burke 34 0 0 18 Oct 2024
Latent-Predictive Empowerment: Measuring Empowerment without a Simulator Andrew Levy A. Allievi George Konidaris 73 0 0 15 Oct 2024
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning Claire Chen Shuze Liu Shangtong Zhang OffRL 156 1 0 08 Oct 2024
GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems Bart van Laatum Eldert J. van Henten Sjoerd Boersma OffRL 74 0 0 06 Oct 2024
Doubly Optimal Policy Evaluation for Reinforcement Learning Shuze Liu Claire Chen Shangtong Zhang OffRL 40 2 0 03 Oct 2024
Mimicking Human Intuition: Cognitive Belief-Driven Q-Learning Xingrui Gu Guanren Qiao Chuyi Jiang Tianqing Xia Hangyu Mao OffRL 31 0 0 02 Oct 2024
VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment Amirhossein Kazemnejad Milad Aghajohari Eva Portelance Alessandro Sordoni Siva Reddy Rameswar Panda Nicolas Le Roux OffRL LRM 36 27 0 02 Oct 2024
Learning Task Specifications from Demonstrations as Probabilistic Automata Mattijs Baert Sam Leroux Pieter Simoens 40 1 0 11 Sep 2024
Ancestral Reinforcement Learning: Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement Learning So Nakashima Tetsuya J. Kobayashi 28 1 0 18 Aug 2024
HistoGym: A Reinforcement Learning Environment for Histopathological Image Analysis Zhi-Bo Liu Xiaobo Pang Jizhao Wang Shuai Liu Chen Li 45 1 0 16 Aug 2024
Explaining an Agent's Future Beliefs through Temporally Decomposing Future Reward Estimators Mark Towers Yali Du Christopher T. Freeman Timothy J. Norman 34 0 0 15 Aug 2024
GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS Saman Kazemkhani Aarav Pandya Daphne Cornelisse Brennan Shacklett Eugene Vinitsky 44 9 0 02 Aug 2024
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search Nicola Dainese Matteo Merler Minttu Alakuijala Pekka Marttinen LLMAG 44 8 0 24 May 2024
Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review Sergio A. Serrano J. Martínez-Carranza L. Sucar 36 0 0 26 Apr 2024
Distributionally Robust Policy and Lyapunov-Certificate Learning Kehan Long Jorge Cortés Nikolay Atanasov 44 3 0 03 Apr 2024
Survey of Simulators for Aerial Robots Cora A. Dimmig Giuseppe Silano Kimberly McGuire Chiara Gabellieri Wolfgang Hönig Joseph Moore Marin Kobilarov 30 8 0 04 Nov 2023