Christian Schroeder de Witt | DeepAI

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∙ 08/24/2023

Bayesian Exploration Networks

Bayesian reinforcement learning (RL) offers a principled and elegant app...

0 Mattie Fellows, et al. ∙

∙ 03/19/2023

Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning

By enabling agents to communicate, recent cooperative multi-agent reinfo...

1 Yat Long Lo, et al. ∙

∙ 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...

1 Dylan Radovic, et al. ∙

∙ 10/24/2022

Perfectly Secure Steganography Using Minimum Entropy Coupling

Steganography is the practice of encoding secret information into innocu...

6 Christian Schroeder de Witt, et al. ∙

∙ 10/21/2022

Equivariant Networks for Zero-Shot Coordination

Successful coordination in Dec-POMDPs requires agents to adopt robust st...

1 Darius Muglich, et al. ∙

∙ 10/11/2022

Discovered Policy Optimisation

Tremendous progress has been made in reinforcement learning (RL) over th...

18 Chris Lu, et al. ∙

∙ 07/20/2022

Illusionary Attacks on Sequential Decision Makers and Countermeasures

Autonomous intelligent agents deployed to the real-world need to be robu...

5 Tim Franzmeyer, et al. ∙

∙ 06/26/2022

Generalized Beliefs for Cooperative AI

Self-play is a common paradigm for constructing solutions in Markov game...

2 Darius Muglich, et al. ∙

∙ 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...

11 Christian Schroeder de Witt, et al. ∙

∙ 05/03/2022

Model-Free Opponent Shaping

In general-sum games, the interaction of self-interested learning agents...

0 Chris Lu, et al. ∙

∙ 01/07/2022

Mirror Learning: A Unifying Framework of Policy Optimisation

General policy improvement (GPI) and trust-region learning (TRL) are the...

0 Jakub Grudzien Kuba, et al. ∙

∙ 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...

0 Christian Schroeder de Witt, et al. ∙

∙ 07/17/2021

Implicit Communication as Minimum Entropy Coupling

In many common-payoff games, achieving good performance requires players...

3 Samuel Sokota, et al. ∙

∙ 12/17/2020

RainBench: Towards Global Precipitation Forecasting from Satellite Imagery

Extreme precipitation events, such as violent rainfall and hail storms, ...

0 Christian Schroeder de Witt, et al. ∙

∙ 05/14/2020

Simulation-Based Inference for Global Health Decisions

The COVID-19 pandemic has highlighted the importance of in-silico epidem...

11 Christian Schroeder de Witt, et al. ∙

∙ 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...

1 Tabish Rashid, et al. ∙

∙ 03/14/2020

Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control

Deep multi-agent reinforcement learning (MARL) holds the promise of auto...

13 Christian Schroeder de Witt, et al. ∙

∙ 10/20/2019

Amortized Rejection Sampling in Universal Probabilistic Programming

Existing approaches to amortized inference in probabilistic programs wit...

11 Saeid Naderiparizi, et al. ∙

∙ 05/17/2019

Stratospheric Aerosol Injection as a Deep Reinforcement Learning Problem

As global greenhouse gas emissions continue to rise, the use of stratosp...

0 Christian Schroeder de Witt, et al. ∙

∙ 02/11/2019

The StarCraft Multi-Agent Challenge

In the last few years, deep multi-agent reinforcement learning (RL) has ...

32 Mikayel Samvelyan, et al. ∙

∙ 03/30/2018

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

In many real-world settings, a team of agents must coordinate their beha...

0 Tabish Rashid, et al. ∙

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