Title
Multimodal Perception for Goal-oriented Navigation: A Survey I-Tak Ieong Hao Tang LM&Ro LRM 33 0 0 22 Apr 2025
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps Linfeng Zhao Lawson L. S. Wong 82 1 0 16 Dec 2024
Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning Hung Le Kien Do D. Nguyen Sunil Gupta Svetha Venkatesh 40 0 0 14 Oct 2024
Retrieval-Augmented Decision Transformer: External Memory for In-context RL Thomas Schmied Fabian Paischer Vihang Patil M. Hofmarcher Razvan Pascanu Sepp Hochreiter OffRL 44 6 0 09 Oct 2024
Deep Dive into Model-free Reinforcement Learning for Biological and Robotic Systems: Theory and Practice Yusheng Jiao Feng Ling Sina Heydari N. Heess J. Merel Eva Kanso 31 0 0 19 May 2024
Active Information Gathering for Long-Horizon Navigation Under Uncertainty by Learning the Value of Information Raihan Islam Arnob Gregory J. Stein 28 0 0 05 Mar 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 22 20 0 17 Jan 2024
Predictive auxiliary objectives in deep RL mimic learning in the brain Ching Fang Kimberly L. Stachenfeld 35 6 0 09 Oct 2023
Toward Scalable Visual Servoing Using Deep Reinforcement Learning and Optimal Control Salar Asayesh Hossein Sheikhi Darani Mo chen M. Mehrandezh Kamal Gupta 24 1 0 02 Oct 2023
Improving Reliable Navigation under Uncertainty via Predictions Informed by Non-Local Information Raihan Islam Arnob Gregory J. Stein 33 2 0 26 Jul 2023
Semantic HELM: A Human-Readable Memory for Reinforcement Learning Fabian Paischer Thomas Adler M. Hofmarcher Sepp Hochreiter 29 10 0 15 Jun 2023
Data-Efficient Policy Selection for Navigation in Partial Maps via Subgoal-Based Abstraction Abhishek Paudel Gregory J. Stein 8 1 0 03 Apr 2023
Mastering Strategy Card Game (Hearthstone) with Improved Techniques Changnan Xiao Yongxin Zhang Xuefeng Huang Qinhan Huang Jie Chen Peng Sun 27 9 0 09 Mar 2023
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning Christopher T. Lengerich Gabriel Synnaeve Amy Zhang Hugh Leather Kurt Shuster Franccois Charton Charysse Redwood SSL OffRL 27 1 0 21 Dec 2022
A Biologically-Inspired Dual Stream World Model Arthur Juliani Margaret E. Sereno 9 0 0 16 Sep 2022
A model-based approach to meta-Reinforcement Learning: Transformers and tree search Brieuc Pinon Jean-Charles Delvenne Raphaël Jungers OffRL 32 3 0 24 Aug 2022
Explain My Surprise: Learning Efficient Long-Term Memory by Predicting Uncertain Outcomes A. Sorokin N. Buzun Leonid Pugachev Andrey Kravchenko 31 8 0 27 Jul 2022
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents Shunyu Yao Howard Chen John Yang Karthik R. Narasimhan LLMAG LM&Ro 43 445 0 04 Jul 2022
Interactive Visual Reasoning under Uncertainty Manjie Xu Guangyuan Jiang Wei Liang Song-Chun Zhu Yixin Zhu LRM 47 5 0 18 Jun 2022
Large-Scale Retrieval for Reinforcement Learning Peter C. Humphreys A. Guez O. Tieleman Laurent Sifre T. Weber Timothy Lillicrap RALM OffRL 40 26 0 10 Jun 2022
Zipfian environments for Reinforcement Learning Stephanie C. Y. Chan Andrew Kyle Lampinen Pierre Harvey Richemond Felix Hill OffRL 15 15 0 15 Mar 2022
Retrieval-Augmented Reinforcement Learning Anirudh Goyal A. Friesen Andrea Banino T. Weber Nan Rosemary Ke ... Michal Valko Simon Osindero Timothy Lillicrap N. Heess Charles Blundell OffRL 32 53 0 17 Feb 2022
Bayesian sense of time in biological and artificial brains Z. Fountas Alexey Zakharov 35 0 0 14 Jan 2022
Graph augmented Deep Reinforcement Learning in the GameRLand3D environment E. Beeching Maxim Peter Philippe Marcotte Jilles Debangoye Olivier Simonin Joshua Romoff Christian Wolf 13 5 0 22 Dec 2021
Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning Thomas Miconi 29 5 0 16 Dec 2021
Information is Power: Intrinsic Control via Information Capture Nick Rhinehart Jenny Wang Glen Berseth John D. Co-Reyes Danijar Hafner Chelsea Finn Sergey Levine 43 9 0 07 Dec 2021
Godot Reinforcement Learning Agents E. Beeching Jilles Debangoye Olivier Simonin Christian Wolf GP OnRL 24 5 0 07 Dec 2021
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Cheng Wu 34 9 0 06 Dec 2021
Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning Grace W. Lindsay J. Merel T. Mrsic-Flogel M. Sahani SSL DRL 36 6 0 03 Dec 2021
Model-Based Episodic Memory Induces Dynamic Hybrid Controls Hung Le Thommen George Karimpanal Majid Abdolshah T. Tran Svetha Venkatesh 30 19 0 03 Nov 2021
Multitask Adaptation by Retrospective Exploration with Learned World Models Artem Zholus Aleksandr I. Panov CLL 27 0 0 25 Oct 2021
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs Tianwei Ni Benjamin Eysenbach Ruslan Salakhutdinov 26 103 0 11 Oct 2021
Hindsight Reward Tweaking via Conditional Deep Reinforcement Learning Ning Wei Jiahua Liang Di Xie Shiliang Pu 25 0 0 06 Sep 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Graph Convolutional Memory using Topological Priors Steven D. Morad Stephan Liwicki Ryan Kortvelesy R. Mecca Amanda Prorok 23 0 0 27 Jun 2021
Towards mental time travel: a hierarchical memory for reinforcement learning agents Andrew Kyle Lampinen Stephanie C. Y. Chan Andrea Banino Felix Hill 24 47 0 28 May 2021
Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers Daniel Tanneberg Elmar Rueckert Jan Peters 38 6 0 17 May 2021
Meta-Learning with Variational Bayes Lucas Lingle BDL OOD 14 0 0 03 Mar 2021
Synthetic Returns for Long-Term Credit Assignment David Raposo Samuel Ritter Adam Santoro Greg Wayne T. Weber M. Botvinick H. V. Hasselt Francis Song AI4TS 21 34 0 24 Feb 2021
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving Sirui Xie Xiaojian Ma Peiyu Yu Yixin Zhu Ying Nian Wu Song-Chun Zhu 42 20 0 22 Feb 2021
Transferring Domain Knowledge with an Adviser in Continuous Tasks Rukshan Wijesinghe Kasun Vithanage Dumindu Tissera A. Xavier Subha Fernando Jayathu Samarawickrama CLL 26 0 0 16 Feb 2021
End-to-End Egospheric Spatial Memory Daniel Lenton Stephen James R. Clark Andrew J. Davison 24 5 0 15 Feb 2021
Offline Reinforcement Learning from Images with Latent Space Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn OffRL 23 126 0 21 Dec 2020
Meta-learning in natural and artificial intelligence Jane X. Wang 30 111 0 26 Nov 2020
From Eye-blinks to State Construction: Diagnostic Benchmarks for Online Representation Learning Banafsheh Rafiee Zaheer Abbas Sina Ghiassian Raksha Kumaraswamy R. Sutton Elliot A. Ludvig Adam White OffRL 19 17 0 09 Nov 2020
Understanding Information Processing in Human Brain by Interpreting Machine Learning Models Ilya Kuzovkin HAI 16 2 0 17 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 48 814 0 05 Oct 2020
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban Peter Karkus M. Berk Mirza A. Guez Andrew Jaegle Timothy Lillicrap Lars Buesing N. Heess T. Weber OffRL 20 8 0 03 Oct 2020
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 286 341 0 14 Sep 2020
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning M. Berk Mirza Andrew Jaegle Jonathan J. Hunt A. Guez S. Tunyasuvunakool ... Peter Karkus S. Racanière Lars Buesing Timothy Lillicrap N. Heess AI4CE 31 12 0 11 Sep 2020