Title
Melting Pot 2.0 J. Agapiou A. Vezhnevets Edgar A. Duénez-Guzmán Jayd Matyas Yiran Mao ... Sukhdeep Singh Julia Haas Igor Mordatch D. Mobbs Joel Z Leibo 45 32 0 24 Nov 2022
Actively Learning Costly Reward Functions for Reinforcement Learning André Eberhard Houssam Metni G. Fahland A. Stroh Pascal Friederich OffRL 43 0 0 23 Nov 2022
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Exploring through Random Curiosity with General Value Functions Aditya A. Ramesh Louis Kirsch Sjoerd van Steenkiste Jürgen Schmidhuber 40 9 0 18 Nov 2022
Explainability Via Causal Self-Talk Nicholas A. Roy Junkyung Kim Neil C. Rabinowitz CML 29 7 0 17 Nov 2022
Dynamic Collaborative Multi-Agent Reinforcement Learning Communication for Autonomous Drone Reforestation P. D. Siedler AI4CE 38 4 0 14 Nov 2022
Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning Pedro Sequeira Jesse Hostetler Melinda Gervasio 18 0 0 11 Nov 2022
Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization Burcu Küçükoglu Walraaf Borkent Bodo Rueckauer Nasir Ahmad Umut Güçlü Marcel van Gerven 47 2 0 11 Nov 2022
Foundation Models for Semantic Novelty in Reinforcement Learning Tarun Gupta Peter Karkus Tong Che Danfei Xu Marco Pavone VLM OffRL LRM 45 7 0 09 Nov 2022
Progress and summary of reinforcement learning on energy management of MPS-EV Jincheng Hu Yang Lin Liang Chu Zhuoran Hou Jihan Li Jingjing Jiang Yuanjian Zhang 28 13 0 08 Nov 2022
Curriculum-based Asymmetric Multi-task Reinforcement Learning H. Huang Deheng Ye Li Shen Wen Liu 32 12 0 07 Nov 2022
On learning history based policies for controlling Markov decision processes Gandharv Patil Aditya Mahajan Doina Precup OffRL 21 5 0 06 Nov 2022
Contrastive Value Learning: Implicit Models for Simple Offline RL Bogdan Mazoure Benjamin Eysenbach Ofir Nachum Jonathan Tompson SSL OffRL 48 8 0 03 Nov 2022
Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions Alexey Skrynnik Zoya Volovikova Marc-Alexandre Côté Anton Voronov Artem Zholus ... Milagro Teruel Ahmed Hassan Awadallah Aleksandr I. Panov Andrey Kravchenko Julia Kiseleva LM&Ro 64 11 0 01 Nov 2022
Learning to Navigate Wikipedia by Taking Random Walks Manzil Zaheer Kenneth Marino Will Grathwohl John Schultz Wendy Shang Sheila Babayan Arun Ahuja Ishita Dasgupta Christine Kaeser-Chen Rob Fergus 13 5 0 31 Oct 2022
Towards Versatile Embodied Navigation Hongru Wang Wei Liang Luc Van Gool Wenguan Wang LM&Ro 63 20 0 30 Oct 2022
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning Ziluo Ding Wanpeng Zhang Junpeng Yue Xiangjun Wang Tiejun Huang Zongqing Lu LLMAG AI4CE 28 4 0 25 Oct 2022
Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds Joshua Albrecht Abraham J. Fetterman Bryden Fogelman Ellie Kitanidis Bartosz Wróblewski ... Michael Rosenthal Maksis Knutins Zachary Polizzi James B. Simon Kanjun Qiu OffRL 29 23 0 24 Oct 2022
Evaluating Long-Term Memory in 3D Mazes J. Pašukonis Timothy Lillicrap Danijar Hafner 3DV 23 21 0 24 Oct 2022
Rethinking Value Function Learning for Generalization in Reinforcement Learning Seungyong Moon JunYeong Lee Hyun Oh Song OOD OffRL 26 16 0 18 Oct 2022
RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning Wei Qiu Xiao Ma Bo An S. Obraztsova Shuicheng Yan Zhongwen Xu 27 1 0 18 Oct 2022
WILD-SCAV: Benchmarking FPS Gaming AI on Unity3D-based Environments Xi Chen Tianyuan Shi Qing Zhao Yuchen Sun Yunfei Gao Xiangjun Wang 33 2 0 14 Oct 2022
A Scalable Finite Difference Method for Deep Reinforcement Learning Matthew Allen John C. Raisbeck Hakho Lee 16 0 0 14 Oct 2022
Bootstrap Advantage Estimation for Policy Optimization in Reinforcement Learning Md Masudur Rahman Yexiang Xue OffRL 11 0 0 13 Oct 2022
Harfang3D Dog-Fight Sandbox: A Reinforcement Learning Research Platform for the Customized Control Tasks of Fighter Aircrafts Muhammed Murat Özbek S. Yildirim Muhammet Aksoy Eric Kernin E. Koyuncu 27 4 0 13 Oct 2022
Object-Category Aware Reinforcement Learning Qi Yi Rui Zhang Shaohui Peng Jiaming Guo Xingui Hu Zidong Du Xishan Zhang Qi Guo Yunji Chen CML LRM 25 6 0 13 Oct 2022
Reinforcement Learning with Automated Auxiliary Loss Search Tairan He Yuge Zhang Kan Ren Minghuan Liu Che Wang Weinan Zhang Yuqing Yang Dongsheng Li 43 16 0 12 Oct 2022
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL Chen Sun Wannan Yang Thomas Jiralerspong Dane Malenfant Benjamin Alsbury-Nealy Yoshua Bengio Blake A. Richards OffRL 24 2 0 12 Oct 2022
Exploration via Elliptical Episodic Bonuses Mikael Henaff Roberta Raileanu Minqi Jiang Tim Rocktaschel OffRL 37 40 0 11 Oct 2022
Discovered Policy Optimisation Chris Xiaoxuan Lu J. Kuba Alistair Letcher Luke Metz Christian Schroeder de Witt Jakob N. Foerster OffRL 49 76 0 11 Oct 2022
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward DaeJin Jo Sungwoong Kim D. W. Nam Taehwan Kwon Seungeun Rho Jongmin Kim Donghoon Lee OffRL 32 10 0 11 Oct 2022
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials Aviral Kumar Anika Singh F. Ebert Mitsuhiko Nakamoto Yanlai Yang Chelsea Finn Sergey Levine OffRL OnRL 131 66 0 11 Oct 2022
VER: Scaling On-Policy RL Leads to the Emergence of Navigation in Embodied Rearrangement Erik Wijmans Irfan Essa Dhruv Batra OffRL 52 13 0 11 Oct 2022
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks Albert Yu Raymond J. Mooney LM&Ro 32 19 0 10 Oct 2022
Scaling up Stochastic Gradient Descent for Non-convex Optimisation S. Mohamad H. Alamri A. Bouchachia 50 3 0 06 Oct 2022
Hyperbolic Deep Reinforcement Learning Edoardo Cetin B. Chamberlain Michael M. Bronstein Jonathan J. Hunt 50 21 0 04 Oct 2022
MSRL: Distributed Reinforcement Learning with Dataflow Fragments Huanzhou Zhu Bo Zhao Gang Chen Weifeng Chen Yijie Chen Liang Shi Yaodong Yang Peter R. Pietzuch Lei Chen OffRL MoE 31 7 0 03 Oct 2022
Improving Policy Learning via Language Dynamics Distillation Victor Zhong Jesse Mu Luke Zettlemoyer Edward Grefenstette Tim Rocktaschel OffRL 55 15 0 30 Sep 2022
Reinforcement Learning Algorithms: An Overview and Classification Fadi AlMahamid Katarina Grolinger 21 40 0 29 Sep 2022
Opportunities and Challenges from Using Animal Videos in Reinforcement Learning for Navigation Vittorio Giammarino James Queeney Lucas C. Carstensen Michael Hasselmo I. Paschalidis OffRL 55 4 0 25 Sep 2022
On Efficient Reinforcement Learning for Full-length Game of StarCraft II Ruo-Ze Liu Zhen-Jia Pang Zhou-Yu Meng Wenhai Wang Yang Yu Tong Lu OffRL 36 18 0 23 Sep 2022
Parallel Reinforcement Learning Simulation for Visual Quadrotor Navigation Jack D. Saunders Sajad Saeedi Wenbin Li 25 3 0 22 Sep 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games Hui Bai R. Shen Yue Lin Bo Xu Ran Cheng VLM 39 5 0 21 Sep 2022
Human-level Atari 200x faster Steven Kapturowski Victor Campos Ray Jiang Nemanja Rakićević Hado van Hasselt Charles Blundell Adria Puigdomenech Badia OffRL 52 28 0 15 Sep 2022
Obtaining Robust Control and Navigation Policies for Multi-Robot Navigation via Deep Reinforcement Learning Christian Jestel H. Surmann Jonas Stenzel Oliver Urbann Marius Brehler 11 9 0 07 Sep 2022
Project proposal: A modular reinforcement learning based automated theorem prover Boris Shminke 28 1 0 06 Sep 2022
Style-Agnostic Reinforcement Learning Juyong Lee Seokjun Ahn Jaesik Park 33 4 0 31 Aug 2022
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review N. Botteghi M. Poel C. Brune SSL OffRL 49 11 0 27 Aug 2022
Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning Daochen Zha Kwei-Herng Lai Qiaoyu Tan Sirui Ding Na Zou Xia Hu AI4TS 26 18 0 26 Aug 2022
Autonomous Unmanned Aerial Vehicle Navigation using Reinforcement Learning: A Systematic Review Fadi AlMahamid Katarina Grolinger 30 73 0 25 Aug 2022