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08/24/2023
Bayesian Exploration Networks
Bayesian reinforcement learning (RL) offers a principled and elegant app...
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03/19/2023
Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning
By enabling agents to communicate, recent cooperative multi-agent reinfo...
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11/20/2022
Revealing Robust Oil and Gas Company Macro-Strategies using Deep Multi-Agent Reinforcement Learning
The energy transition potentially poses an existential risk for major in...
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10/24/2022
Perfectly Secure Steganography Using Minimum Entropy Coupling
Steganography is the practice of encoding secret information into innocu...
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10/21/2022
Equivariant Networks for Zero-Shot Coordination
Successful coordination in Dec-POMDPs requires agents to adopt robust st...
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10/11/2022
Discovered Policy Optimisation
Tremendous progress has been made in reinforcement learning (RL) over th...
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07/20/2022
Illusionary Attacks on Sequential Decision Makers and Countermeasures
Autonomous intelligent agents deployed to the real-world need to be robu...
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06/26/2022
Generalized Beliefs for Cooperative AI
Self-play is a common paradigm for constructing solutions in Markov game...
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05/28/2022
Biological Evolution and Genetic Algorithms: Exploring the Space of Abstract Tile Self-Assembly
A physically-motivated genetic algorithm (GA) and full enumeration for a...
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05/03/2022
Model-Free Opponent Shaping
In general-sum games, the interaction of self-interested learning agents...
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01/07/2022
Mirror Learning: A Unifying Framework of Policy Optimisation
General policy improvement (GPI) and trust-region learning (TRL) are the...
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11/23/2021
Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the Age of AI-NIDS
Cyber attacks are increasing in volume, frequency, and complexity. In re...
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07/17/2021
Implicit Communication as Minimum Entropy Coupling
In many common-payoff games, achieving good performance requires players...
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12/17/2020
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery
Extreme precipitation events, such as violent rainfall and hail storms, ...
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05/14/2020
Simulation-Based Inference for Global Health Decisions
The COVID-19 pandemic has highlighted the importance of in-silico epidem...
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03/19/2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
In many real-world settings, a team of agents must coordinate its behavi...
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03/14/2020
Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control
Deep multi-agent reinforcement learning (MARL) holds the promise of auto...
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10/20/2019
Amortized Rejection Sampling in Universal Probabilistic Programming
Existing approaches to amortized inference in probabilistic programs wit...
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05/17/2019
Stratospheric Aerosol Injection as a Deep Reinforcement Learning Problem
As global greenhouse gas emissions continue to rise, the use of stratosp...
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02/11/2019
The StarCraft Multi-Agent Challenge
In the last few years, deep multi-agent reinforcement learning (RL) has ...
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03/30/2018