Sumitra Ganesh | DeepAI

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∙ 01/10/2023

Sequential Fair Resource Allocation under a Markov Decision Process Framework

We study the sequential decision-making problem of allocating a limited ...

0 Parisa Hassanzadeh, et al. ∙

∙ 11/28/2022

Inapplicable Actions Learning for Knowledge Transfer in Reinforcement Learning

Reinforcement Learning (RL) algorithms are known to scale poorly to envi...

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∙ 10/13/2022

Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations

We study a game between liquidity provider and liquidity taker agents in...

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∙ 10/12/2022

Phantom – A RL-driven multi-agent framework to model complex systems

Agent based modelling (ABM) is a computational approach to modelling com...

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∙ 06/21/2022

Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems

Communication is important in many multi-agent reinforcement learning (M...

2 Yanchao Sun, et al. ∙

∙ 01/05/2022

Mixture of basis for interpretable continual learning with distribution shifts

Continual learning in environments with shifting data distributions is a...

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∙ 10/13/2021

Towards a fully RL-based Market Simulator

We present a new financial framework where two families of RL-based agen...

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∙ 06/04/2021

Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures

Recently, Optimistic Multiplicative Weights Update (OMWU) was proven to ...

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∙ 02/20/2021

Causal Policy Gradients

Policy gradient methods can solve complex tasks but often fail when the ...

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∙ 06/23/2020

Calibration of Shared Equilibria in General Sum Partially Observable Markov Games

Training multi-agent systems (MAS) to achieve realistic equilibria gives...

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∙ 06/23/2020

Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty

We introduce a novel framework to account for sensitivity to rewards unc...

0 Nelson Vadori, et al. ∙

∙ 11/14/2019

Reinforcement Learning for Market Making in a Multi-agent Dealer Market

Market makers play an important role in providing liquidity to markets b...

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