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Publication
Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games
Zun Li, Marc Lanctot, Kevin McKee, Luke Marris, Ian Gemp, Daniel Hennes, Kate Larson, Yoram Bachrach, Paul Muller, Michael Wellman *
AAMAS
2023-05-29
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Publication
Is forgetting less a good inductive bias for forward transfer?
Arslan Chaudhry, Jiefeng Chen, Timothy Nguyen, Dilan Gorur
ICLR
2023-05-01
Continual & transfer learning
Deep learning
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Publication
Meta-Learning Black-Box Optimization via Black-Box Optimization
Robert Lange, Tom Schaul, Tom Zahavy, Yutian Chen, Valentin Dalibard, Chris Lu, Satinder Baveja, Sebastian Flennerhag
ICLR
2023-05-01
Meta-Learning
Self-supervised learning
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Publication
Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of 2×2 Normal-Form Games
Luke Marris, Ian Gemp, Georgios Piliouras
arXiv
2023-04-21
Games
Theory & foundations
Multi-agent learning
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Publication
Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation
Xu Han *, Xiaohui Chen *, Francisco Ruiz, Liping Liu *
JMLR
2023-04-06
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Rethinking Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization
Aishwarya Agrawal, Ivana Kajic, Emanuele Bugliarello, Elnaz Davoodi, Anita Gergely, Aida Nematzadeh, Phil Blunsom *
EACL
2023-04-01
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Three ways to improve feature alignment for open vocabulary detection
Relja Arandjelovic, Alex Andonian, Jean-baptiste Alayrac, Arthur Mensch, Olivier Henaff, Andrew Zisserman
arXiv
2023-03-23
Vision
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Fast exploration and learning of latent graphs with aliased observations
Miguel Lazaro-Gredilla, Ishan Deshpande, Siva Swaminathan, Meet Dave, Dileep George
arXiv
2023-03-13
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Publication
Evaluating Number Discrimination in Deep Neural Networks for Vision
Ivana Kajic, Aida Nematzadeh
CogSci
2023-03-13
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Publication
Denoising diffusion samplers
Francisco Vargas, Will Grathwohl, Arnaud Doucet
ICLR
2023-02-28
Probabilistic learning
Simulations
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Publication
Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains
Jingwei Zhang, Jost Tobias Springenberg, Martin Riedmiller, Nicolas Heess, Arunkumar Byravan, Leonard Hasenclever, Abbas Abdolmaleki, Dushyant Rao
arXiv
2023-02-24
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Graph schemas as abstractions for transfer learning, inference, and planning
Swaroop Guntupalli, Rajkumar Vasudeva Raju, Shrinu Kushagra, Carter Wendelken, Danny Sawyer, Ishan Deshpande, Stannis Zhou, Miguel Lazaro-Gredilla, Dileep George
arXiv
2023-02-16
Abstraction & concepts
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Navigation
Planning
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Universal Agent Mixtures and the Geometry of Intelligence
Samuel Allen Alexander *, David Quarel *, Len Du *, Marcus Hutter
AISTATS
2023-02-13
Reinforcement learning
Theory & foundations
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Publication
Scaling Goal-based Exploration via Pruning Proto-goals
Akhil Bagaria *, Ray Jiang, Ramana Kumar, Tom Schaul
arXiv
2023-02-09
Reinforcement learning
Deep reinforcement learning
Continual & transfer learning
Multi-task learning
Games
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Publication
Equivariant MuZero
Andreea Deac *, Theophane Weber, George Papamakarios
arXiv
2023-02-09
Deep reinforcement learning
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3D Neural Embedding Likelihood for Robust Sim-to-Real Transfer in Inverse Graphics
Stannis Zhou, Nishad Gothoskar *, Lirui Wang *, Josh Tenenbaum *, Dan Gutfreund *, Miguel Lazaro-Gredilla, Dileep George, Vikash Mansinghka *
arXiv
2023-02-07
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Publication
Exploration via Epistemic Value Estimation
Simon Schmitt, John Shawe-Taylor *, Hado van Hasselt
AAAI
2023-02-07
Deep reinforcement learning
Reinforcement learning
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Publication
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition
Peter Sunehag, Joel Leibo, Sasha Vezhnevets, Igor Mordatch *, Edgar Duéñez-Guzmán
AAMAS
2023-02-03
Deep reinforcement learning
Multi-agent learning
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Reinforcement Learning for Minimizing Age of Information over Wireless Links
Elif Tugce Ceran *, Deniz Gündüz *, Andras Gyorgy
Age of Information: Foundations and Applications
2023-02-02
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PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX
Stannis Zhou, Antoine Dedieu, Nishanth Kumar *, Wolfgang Lehrach, Miguel Lazaro-Gredilla, Shrinu Kushagra, Dileep George
arXiv
2023-02-02
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Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation
Antoine Dedieu, Stannis Zhou, Dileep George, Miguel Lazaro-Gredilla
arXiv
2023-02-02
Probabilistic learning
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Dual Algorithmic Reasoning
Danilo Numeroso *, Davide Bacciu *, Petar Veličković
ICLR
2023-02-02
Relational reasoning
Neural programming
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Publication
Distilling Internet-Scale Vision-Language Models into Embodied Agents
Kenneth Marino, Arun Ahuja, Rob Fergus, Ishita Dasgupta, Theodore Sumers *
arXiv
2023-01-29
Language
Vision
Reinforcement learning
Imitation
Simulations
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Publication
Pragmatic Fairness: Developing Policies with Outcome Disparity Control
Silvia Chiappa, Alan Malek, Ricardo Silva *, Siyuan Guo *
arXiv
2023-01-28
Causal inference
Fairness
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Publication
On a continuous time model of gradient descent dynamics and instability in deep learning
Mihaela Rosca, Yan Wu, Chongli Qin, Benoit Dherin *
Transactions on Machine Learning Research (TMLR)
2023-01-25
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