Title
Grounded Language Learning Fast and Slow Felix Hill O. Tieleman Tamara von Glehn Nathaniel Wong Hamza Merzic S. Clark LM&Ro 29 77 0 03 Sep 2020
Learning to plan with uncertain topological maps E. Beeching J. Dibangoye Olivier Simonin Christian Wolf 19 40 0 10 Jul 2020
Deep Reinforcement Learning and its Neuroscientific Implications M. Botvinick Jane X. Wang Will Dabney Kevin J. Miller Z. Kurth-Nelson OffRL AI4CE 28 169 0 07 Jul 2020
Perception-Prediction-Reaction Agents for Deep Reinforcement Learning Adam Stooke Valentin Dalibard Siddhant M. Jayakumar Wojciech M. Czarnecki Max Jaderberg 14 1 0 26 Jun 2020
Reinforcement Learning and its Connections with Neuroscience and Psychology Ajay Subramanian Sharad Chitlangia V. Baths OffRL 16 29 0 25 Jun 2020
Rapid Task-Solving in Novel Environments Samuel Ritter Ryan Faulkner Laurent Sartran Adam Santoro M. Botvinick David Raposo 16 29 0 05 Jun 2020
Probing Emergent Semantics in Predictive Agents via Question Answering Abhishek Das Federico Carnevale Hamza Merzic Laura Rimell R. Schneider ... Alden Hung Arun Ahuja S. Clark Greg Wayne Felix Hill 40 18 0 01 Jun 2020
A Proposal for Intelligent Agents with Episodic Memory David Murphy Thomas S. Paula Wagston Staehler Juliano Vacaro Gabriel Paz Guilherme Marques Bruna Oliveira 6 2 0 07 May 2020
Footprints and Free Space from a Single Color Image Jamie Watson Michael Firman Áron Monszpart Gabriel J. Brostow 3DV 14 19 0 14 Apr 2020
Planning with Brain-inspired AI Naoya Arakawa AI4CE 12 0 0 25 Mar 2020
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence G. Marcus VLM 32 355 0 14 Feb 2020
Product Kanerva Machines: Factorized Bayesian Memory Adam H. Marblestone Yunsheng Wu Greg Wayne 19 9 0 06 Feb 2020
EgoMap: Projective mapping and structured egocentric memory for Deep RL E. Beeching Christian Wolf J. Dibangoye Olivier Simonin EgoV 21 27 0 24 Jan 2020
A Neurocomputational Account of Flexible Goal-directed Cognition and Consciousness: The Goal-Aligning Representation Internal Manipulation Theory (GARIM) Giovanni Granato Gianluca Baldassarre AI4CE 20 1 0 31 Dec 2019
Intrinsic motivations and open-ended learning Gianluca Baldassarre AI4CE 19 8 0 31 Dec 2019
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures S. Risi Kenneth O. Stanley 30 4 0 29 Dec 2019
Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer Architecture Daniel Tanneberg Elmar Rueckert Jan Peters 4 3 0 30 Oct 2019
Generalization of Reinforcement Learners with Working and Episodic Memory Meire Fortunato Melissa Tan Ryan Faulkner Steven Hansen Adria Puigdomenech Badia Gavin Buttimore Charlie Deck Joel Z Leibo Charles Blundell 27 70 0 29 Oct 2019
Improving the Gating Mechanism of Recurrent Neural Networks Albert Gu Çağlar Gülçehre T. Paine Matthew W. Hoffman Razvan Pascanu AI4CE 16 2 0 22 Oct 2019
OffWorld Gym: open-access physical robotics environment for real-world reinforcement learning benchmark and research Ashish Kumar Toby Buckley John B. Lanier Qiaozhi Wang A. Kavelaars Ilya Kuzovkin OffRL 19 14 0 18 Oct 2019
Visual Hide and Seek Boyuan Chen Shuran Song Hod Lipson Carl Vondrick 33 22 0 15 Oct 2019
Stabilizing Transformers for Reinforcement Learning Emilio Parisotto H. F. Song Jack W. Rae Razvan Pascanu Çağlar Gülçehre ... Aidan Clark Seb Noury M. Botvinick N. Heess R. Hadsell OffRL 22 360 0 13 Oct 2019
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 11 41 0 09 Oct 2019
AHA! an Ártificial Hippocampal Algorithm' for Episodic Machine Learning Gideon Kowadlo Abdelrahman Ahmed D. Rawlinson 16 11 0 23 Sep 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges Lei Lei Yue Tan Kan Zheng Shiwen Liu K. Zheng Xuemin Shen Shen OffRL 21 202 0 22 Jul 2019
Deep Active Inference as Variational Policy Gradients Beren Millidge BDL 32 103 0 08 Jul 2019
Cross-View Policy Learning for Street Navigation Ang Li Huiyi Hu Piotr Wojciech Mirowski Mehrdad Farajtabar 30 27 0 13 Jun 2019
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction Alban Laflaquière Michael Garcia Ortiz 24 6 0 04 Jun 2019
The Principle of Unchanged Optimality in Reinforcement Learning Generalization A. Irpan Xingyou Song OffRL 33 7 0 02 Jun 2019
Interval timing in deep reinforcement learning agents B. Deverett Ryan Faulkner Meire Fortunato Greg Wayne Joel Z Leibo 17 14 0 31 May 2019
Meta reinforcement learning as task inference Jan Humplik Alexandre Galashov Leonard Hasenclever Pedro A. Ortega Yee Whye Teh N. Heess OffRL 31 127 0 15 May 2019
Deep Neuroevolution of Recurrent and Discrete World Models S. Risi Kenneth O. Stanley OCL 14 53 0 28 Apr 2019
Bayesian policy selection using active inference Ozan Çatal J. Nauta Tim Verbelen Pieter Simoens Bart Dhoedt BDL 38 32 0 17 Apr 2019
A Short Survey On Memory Based Reinforcement Learning Dhruv Ramani OffRL 25 17 0 14 Apr 2019
Meta-Learning surrogate models for sequential decision making Alexandre Galashov Jonathan Richard Schwarz Hyunjik Kim M. Garnelo D. Saxton Pushmeet Kohli S. M. Ali Eslami Yee Whye Teh BDL OffRL 28 26 0 28 Mar 2019
ToyArchitecture: Unsupervised Learning of Interpretable Models of the World Jaroslav Vítků Petr Dluhos Joseph Davidson Matej Nikl Simon Andersson ... Martin Stránský M. Hyben Martin Poliak Jan Feyereisl Marek Rosa AI4CE SSL 16 0 0 20 Mar 2019
The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation Chih-Yao Ma Zuxuan Wu G. Al-Regib Caiming Xiong Z. Kira LM&Ro 36 172 0 05 Mar 2019
Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research Joel Z Leibo Edward Hughes Marc Lanctot T. Graepel 27 105 0 02 Mar 2019
Learning To Follow Directions in Street View Karl Moritz Hermann Mateusz Malinowski Piotr Wojciech Mirowski Andras Banki-Horvath Keith Anderson R. Hadsell SSL 26 66 0 01 Mar 2019
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat 17 16 0 25 Feb 2019
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation Chih-Yao Ma Jiasen Lu Zuxuan Wu G. Al-Regib Z. Kira R. Socher Caiming Xiong LM&Ro 6 274 0 10 Jan 2019
State representation learning with recurrent capsule networks Louis Annabi Michael Garcia Ortiz SSL 11 3 0 28 Dec 2018
Hierarchical visuomotor control of humanoids J. Merel Arun Ahuja Vu Pham S. Tunyasuvunakool Siqi Liu Dhruva Tirumala N. Heess Greg Wayne 32 97 0 23 Nov 2018
Neural Predictive Belief Representations Z. Guo M. G. Azar Bilal Piot Bernardo Avila-Pires Rémi Munos SSL 19 80 0 15 Nov 2018
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 18 1,401 0 12 Nov 2018
RLgraph: Modular Computation Graphs for Deep Reinforcement Learning Michael Schaarschmidt Sven Mika Kai Fricke Eiko Yoneki OffRL 23 5 0 21 Oct 2018
Fast deep reinforcement learning using online adjustments from the past Steven Hansen Pablo Sprechmann Alexander Pritzel André Barreto Charles Blundell TTA OffRL OnRL 18 42 0 18 Oct 2018
Optimizing Agent Behavior over Long Time Scales by Transporting Value Chia-Chun Hung Timothy Lillicrap Josh Abramson Yan Wu M. Berk Mirza Federico Carnevale Arun Ahuja Greg Wayne 29 121 0 15 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
Continual State Representation Learning for Reinforcement Learning using Generative Replay Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat BDL CLL 24 19 0 09 Oct 2018