Title
MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure Zhicheng Zhang Yancheng Liang Yi Wu Fei Fang 31 2 0 01 May 2024
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning Zun Li Michael P. Wellman 42 1 0 30 Apr 2024
Shared learning of powertrain control policies for vehicle fleets Lindsey Kerbel B. Ayalew Andrej Ivanco 31 0 0 27 Apr 2024
Learning to Beat ByteRL: Exploitability of Collectible Card Game Agents Radovan Haluška Martin Schmid LLMAG 45 0 0 25 Apr 2024
Impedance Matching: Enabling an RL-Based Running Jump in a Quadruped Robot Neil Guan Shangqun Yu Shifan Zhu Donghyun Kim 37 0 0 23 Apr 2024
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning Hui Bai Ran Cheng 55 4 0 12 Apr 2024
GO4Align: Group Optimization for Multi-Task Alignment Jiayi Shen Cheems Wang Zehao Xiao Nanne van Noord M. Worring 37 4 0 09 Apr 2024
Securing the Skies: An IRS-Assisted AoI-Aware Secure Multi-UAV System with Efficient Task Offloading Poorvi Joshi Alakesh Kalita Gurusamy Mohan 32 0 0 06 Apr 2024
Compressed Federated Reinforcement Learning with a Generative Model Ali Beikmohammadi Sarit Khirirat Sindri Magnússon FedML 39 2 0 26 Mar 2024
EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents Abhaysinh Zala Jaemin Cho Han Lin Jaehong Yoon Mohit Bansal 41 13 0 18 Mar 2024
Scaling Instructable Agents Across Many Simulated Worlds Sima Team Maria Abi Raad Arun Ahuja Catarina Barros F. Besse ... Daan Wierstra Duncan Williams Nathaniel Wong Sarah York Nick Young LM&Ro 115 39 0 13 Mar 2024
Mastering Memory Tasks with World Models Mohammad Reza Samsami Artem Zholus Janarthanan Rajendran Sarath Chandar CLL OffRL 34 23 0 07 Mar 2024
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL Jesse Farebrother Jordi Orbay Q. Vuong Adrien Ali Taïga Yevgen Chebotar ... Sergey Levine Pablo Samuel Castro Aleksandra Faust Aviral Kumar Rishabh Agarwal OffRL 61 57 0 06 Mar 2024
Scalable Volt-VAR Optimization using RLlib-IMPALA Framework: A Reinforcement Learning Approach Alaa Selim Yanzhu Ye Junbo Zhao Bo Yang 19 0 0 24 Feb 2024
Skill or Luck? Return Decomposition via Advantage Functions Hsiao-Ru Pan Bernhard Schölkopf OffRL 25 3 0 20 Feb 2024
In value-based deep reinforcement learning, a pruned network is a good network J. Obando-Ceron Rameswar Panda Pablo Samuel Castro OffRL 48 18 0 19 Feb 2024
Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent Quentin Gallouedec E. Beeching Clément Romac Emmanuel Dellandrea 26 11 0 15 Feb 2024
Mixtures of Experts Unlock Parameter Scaling for Deep RL J. Obando-Ceron Ghada Sokar Timon Willi Clare Lyle Jesse Farebrother Jakob N. Foerster Gintare Karolina Dziugaite Doina Precup Pablo Samuel Castro 63 31 0 13 Feb 2024
NavFormer: A Transformer Architecture for Robot Target-Driven Navigation in Unknown and Dynamic Environments Haitong Wang Aaron Hao Tan G. Nejat 49 12 0 09 Feb 2024
Off-policy Distributional Q( $λ$ ): Distributional RL without Importance Sampling Yunhao Tang Mark Rowland Rémi Munos Bernardo Avila-Pires Will Dabney OffRL 15 1 0 08 Feb 2024
Private Knowledge Sharing in Distributed Learning: A Survey Yasas Supeksala Dinh C. Nguyen Ming Ding Thilina Ranbaduge Calson Chua Jun Zhang Jun Li H. Vincent Poor 49 0 0 08 Feb 2024
A computational approach to visual ecology with deep reinforcement learning Sacha Sokoloski Jure Majnik Philipp Berens 11 0 0 07 Feb 2024
Learning Diverse Policies with Soft Self-Generated Guidance Guojian Wang Faguo Wu Xiao Zhang Jianxiang Liu OffRL 31 4 0 07 Feb 2024
Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations Stefan Sylvius Wagner Stefan Harmeling 29 2 0 05 Feb 2024
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning Shengyi Huang Quentin Gallouedec Florian Felten Antonin Raffin Rousslan Fernand Julien Dossa ... Alexander Nikulin Xiao Hu Tianlin Liu Jongwook Choi Brent Yi OffRL 29 8 0 05 Feb 2024
Augmenting Replay in World Models for Continual Reinforcement Learning Luke Yang L. Kuhlmann Gideon Kowadlo VLM KELM CLL OffRL 44 0 0 30 Jan 2024
Zero-shot Imitation Policy via Search in Demonstration Dataset Federico Malato Florian Leopold Andrew Melnik Ville Hautamaki LM&Ro OffRL 26 6 0 29 Jan 2024
Visual Imitation Learning with Calibrated Contrastive Representation Yunke Wang Linwei Tao Bo Du Yutian Lin Chang Xu 28 0 0 21 Jan 2024
Reinforcement Learning from LLM Feedback to Counteract Goal Misgeneralization Houda Nait El Barj Théophile Sautory 27 2 0 14 Jan 2024
Scaling Is All You Need: Autonomous Driving with JAX-Accelerated Reinforcement Learning Moritz Harmel Anubhav Paras Andreas Pasternak Nicholas Roy Gary Linscott LRM 21 1 0 23 Dec 2023
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin Vladislav Kurenkov Ilya Zisman Artem Agarkov Viacheslav Sinii Sergey Kolesnikov 35 26 0 19 Dec 2023
Learning to Act without Actions Dominik Schmidt Minqi Jiang OffRL 34 31 0 17 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 36 8 0 15 Dec 2023
Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft Hao Li Xue Yang Zhaokai Wang Xizhou Zhu Jie Zhou Yu Qiao Xiaogang Wang Hongsheng Li Lewei Lu Jifeng Dai 43 32 0 14 Dec 2023
The Effective Horizon Explains Deep RL Performance in Stochastic Environments Cassidy Laidlaw Banghua Zhu Stuart J. Russell Anca Dragan 36 2 0 13 Dec 2023
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 80 5 0 13 Dec 2023
Spreeze: High-Throughput Parallel Reinforcement Learning Framework Jing Hou Guang Chen Ruiqi Zhang Zhijun Li Shangding Gu Changjun Jiang OffRL 32 2 0 11 Dec 2023
Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding Talfan Evans Shreya Pathak Hamza Merzic Jonathan Schwarz Ryutaro Tanno Olivier J. Hénaff 23 16 0 08 Dec 2023
Efficient Parallel Reinforcement Learning Framework using the Reactor Model Jacky Kwok Marten Lohstroh Edward A. Lee 26 0 0 07 Dec 2023
Colour versus Shape Goal Misgeneralization in Reinforcement Learning: A Case Study Karolis Ramanauskas Özgür Simsek 29 0 0 05 Dec 2023
Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games Lukas Schäfer Logan Jones Anssi Kanervisto Yuhan Cao Tabish Rashid Raluca Georgescu David Bignell Siddhartha Sen Andrea Trevino Gavito Sam Devlin 93 3 0 04 Dec 2023
Harnessing Discrete Representations For Continual Reinforcement Learning Edan Meyer Adam White Marlos C. Machado OffRL 46 4 0 02 Dec 2023
Handling Cost and Constraints with Off-Policy Deep Reinforcement Learning Jared Markowitz Jesse Silverberg Gary Collins OffRL 23 0 0 30 Nov 2023
Replay across Experiments: A Natural Extension of Off-Policy RL Dhruva Tirumala Thomas Lampe José Enrique Chen Tuomas Haarnoja Sandy Huang ... Tim Hertweck Leonard Hasenclever Martin Riedmiller N. Heess Markus Wulfmeier OffRL 40 8 0 27 Nov 2023
Agent as Cerebrum, Controller as Cerebellum: Implementing an Embodied LMM-based Agent on Drones Haoran Zhao Fengxing Pan Huqiuyue Ping Yaoming Zhou AI4CE 50 12 0 25 Nov 2023
Probabilistic Inference in Reinforcement Learning Done Right Jean Tarbouriech Tor Lattimore Brendan O'Donoghue BDL OffRL 30 4 0 22 Nov 2023
minimax: Efficient Baselines for Autocurricula in JAX Minqi Jiang Michael Dennis Edward Grefenstette Tim Rocktaschel 27 8 0 21 Nov 2023
On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling Nicholas Corrado Josiah P. Hanna OffRL 20 1 0 14 Nov 2023
An introduction to reinforcement learning for neuroscience Kristopher T. Jensen OOD OffRL AI4CE 36 1 0 13 Nov 2023
Towards Continual Reinforcement Learning for Quadruped Robots G. Minelli V. Vassiliades CLL 33 1 0 12 Nov 2023