Title
CubeTR: Learning to Solve The Rubiks Cube Using Transformers Mustafa Chasmai ViT 26 1 0 11 Nov 2021
AlphaD3M: Machine Learning Pipeline Synthesis Iddo Drori Yamuna Krishnamurthy Rémi Rampin Raoni Lourenço Jorge Piazentin Ono Kyunghyun Cho Claudio Silva J. Freire 14 85 0 03 Nov 2021
Adaptive Discretization in Online Reinforcement Learning Sean R. Sinclair Siddhartha Banerjee C. Yu OffRL 40 15 0 29 Oct 2021
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment T. Luu Chang-Dong Yoo 10 8 0 28 Oct 2021
Measuring the Non-Transitivity in Chess R. Sanjaya Jun Wang Yaodong Yang 11 22 0 22 Oct 2021
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications Borja G. Leon Murray Shanahan Francesco Belardinelli AI4CE 23 15 0 18 Oct 2021
Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning Edoardo Cetin Oya Celiktutan OffRL 39 16 0 07 Oct 2021
Deep Synoptic Monte Carlo Planning in Reconnaissance Blind Chess Gregory Clark 25 9 0 05 Oct 2021
Reinforcement Learning with Information-Theoretic Actuation Elliot Catt Marcus Hutter J. Veness 39 0 0 30 Sep 2021
Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits Simon Ståhlberg Blai Bonet Hector Geffner 38 48 0 21 Sep 2021
Target Languages (vs. Inductive Biases) for Learning to Act and Plan Hector Geffner 39 6 0 15 Sep 2021
On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference Mohamed Baioumy Bruno Lacerda Paul Duckworth Nick Hawes 22 3 0 13 Sep 2021
Explaining Bayesian Neural Networks Kirill Bykov Marina M.-C. Höhne Adelaida Creosteanu Klaus-Robert Muller Frederick Klauschen Shinichi Nakajima Marius Kloft BDL AAML 31 25 0 23 Aug 2021
Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive Control Dimitri Bertsekas AI4CE 40 55 0 20 Aug 2021
Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN Shai Ben-Assayag Ran El-Yaniv GNN 27 9 0 18 Jul 2021
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction Assaf Hallak Gal Dalal Steven Dalton I. Frosio Shie Mannor Gal Chechik OffRL OnRL 35 9 0 04 Jul 2021
Continuous Control with Deep Reinforcement Learning for Autonomous Vessels Nader Zare Bruno Brandoli Mahtab Sarvmaili Amílcar Soares Stan Matwin 11 8 0 27 Jun 2021
Policy Smoothing for Provably Robust Reinforcement Learning Aounon Kumar Alexander Levine S. Feizi AAML 15 54 0 21 Jun 2021
Graceful Degradation and Related Fields J. Dymond 31 4 0 21 Jun 2021
Hierarchical RNNs-Based Transformers MADDPG for Mixed Cooperative-Competitive Environments Xiaolong Wei Lifang Yang Xianglin Huang Gang Cao Zhulin Tao Zhengyang Du Jing An 21 6 0 11 May 2021
Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones? Franco Pellegrini Giulio Biroli 49 6 0 27 Apr 2021
Qubit Routing using Graph Neural Network aided Monte Carlo Tree Search Animesh Sinha Utkarsh Azad Harjinder Singh 39 27 0 01 Apr 2021
Self-adaptive Torque Vectoring Controller Using Reinforcement Learning Shayan Taherian Sampo Kuutti Marco Visca Saber Fallah 6 4 0 27 Mar 2021
Policy-Guided Heuristic Search with Guarantees Laurent Orseau Levi H. S. Lelis 18 26 0 21 Mar 2021
Neural Networks and Denotation E. Allen 17 0 0 15 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Thanh Nguyen T. Luu Thang Vu Chang-Dong Yoo 15 17 0 15 Mar 2021
Learning to run a Power Network Challenge: a Retrospective Analysis Antoine Marot Benjamin Donnot Gabriel Dulac-Arnold A. Kelly A. O'Sullivan J. Viebahn M. Awad Isabelle M Guyon P. Panciatici Camilo Romero 9 77 0 02 Mar 2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators Anish Agarwal Abdullah Alomar Varkey Alumootil Devavrat Shah Dennis Shen Zhi Xu Cindy Yang OffRL 18 18 0 13 Feb 2021
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review Rongrong Liu F. Nageotte P. Zanne M. de Mathelin Birgitta Dresp 42 143 0 08 Feb 2021
Differentiable Trust Region Layers for Deep Reinforcement Learning Fabian Otto P. Becker Ngo Anh Vien Hanna Ziesche Gerhard Neumann OffRL 28 19 0 22 Jan 2021
Asymmetric self-play for automatic goal discovery in robotic manipulation OpenAI OpenAI Matthias Plappert Raul Sampedro Tao Xu Ilge Akkaya ... Hyeonwoo Noh Lilian Weng Qiming Yuan Casey Chu Wojciech Zaremba SSL 76 76 0 13 Jan 2021
Open Problems in Cooperative AI Allan Dafoe Edward Hughes Yoram Bachrach Tantum Collins Kevin R. McKee Joel Z. Leibo Kate Larson T. Graepel 24 199 0 15 Dec 2020
Relative Variational Intrinsic Control Kate Baumli David Warde-Farley S. Hansen Volodymyr Mnih 18 42 0 14 Dec 2020
Hindsight and Sequential Rationality of Correlated Play Dustin Morrill Ryan DÓrazio Reca Sarfati Marc Lanctot James Wright A. Greenwald Michael H. Bowling 21 30 0 10 Dec 2020
Ensemble Squared: A Meta AutoML System Jason Yoo Tony Joseph Dylan Yung S. Nasseri Frank D. Wood MoE 19 8 0 10 Dec 2020
EvoCraft: A New Challenge for Open-Endedness Djordje Grbic Rasmus Berg Palm Elias Najarro Claire Glanois S. Risi 11 30 0 08 Dec 2020
Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks Apostolos Avranas Marios Kountouris P. Ciblat 19 7 0 27 Nov 2020
Experimental design for MRI by greedy policy search Tim Bakker H. V. Hoof Max Welling 27 55 0 30 Oct 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun-Jie Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 139 193 0 19 Oct 2020
Learning to Play Two-Player Perfect-Information Games without Knowledge Quentin Cohen-Solal OffRL 30 13 0 03 Aug 2020
Monte-Carlo Tree Search as Regularized Policy Optimization Jean-Bastien Grill Florent Altché Yunhao Tang Thomas Hubert Michal Valko Ioannis Antonoglou Rémi Munos 19 73 0 24 Jul 2020
Rinascimento: using event-value functions for playing Splendor Ivan Bravi Simon Lucas 14 2 0 10 Jun 2020
POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis Weichao Mao K. Zhang Qiaomin Xie Tamer Basar 11 14 0 08 Jun 2020
Reassessing Claims of Human Parity and Super-Human Performance in Machine Translation at WMT 2019 Antonio Toral 11 43 0 12 May 2020
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents Richard Meyes Moritz Schneider Tobias Meisen 26 2 0 07 Apr 2020
A Survey of End-to-End Driving: Architectures and Training Methods Ardi Tampuu Maksym Semikin Naveed Muhammad D. Fishman Tambet Matiisen 3DV 23 228 0 13 Mar 2020
On Reinforcement Learning for Turn-based Zero-sum Markov Games Devavrat Shah Varun Somani Qiaomin Xie Zhi Xu 13 11 0 25 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 21 482 0 12 Feb 2020
Reinforcement Learning for POMDP: Partitioned Rollout and Policy Iteration with Application to Autonomous Sequential Repair Problems Sushmita Bhattacharya Sahil Badyal Thomas Wheeler Stephanie Gil Dimitri Bertsekas 19 33 0 11 Feb 2020
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning Eivind Meyer Haakon Robinson Adil Rasheed Omer San 17 65 0 18 Dec 2019