Diederik M. Roijers

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University of Oxford

Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm

Not all generate-and-test search algorithms are created equal. Bayesian ...
05/04/2020 ∙ by Gongjin Lan, et al. ∙ 0 ∙ share

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Learning Directed Locomotion in Modular Robots with Evolvable Morphologies

We generalize the well-studied problem of gait learning in modular robot...
01/21/2020 ∙ by Gongjin Lan, et al. ∙ 5 ∙ share

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A utility-based analysis of equilibria in multi-objective normal form games

In multi-objective multi-agent systems (MOMAS), agents explicitly consid...
01/17/2020 ∙ by Roxana Rădulescu, et al. ∙ 0 ∙ share

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Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping

We present a new model-based reinforcement learning algorithm, Cooperati...
01/15/2020 ∙ by Eugenio Bargiacchi, et al. ∙ 0 ∙ share

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Multi-Agent Thompson Sampling for Bandit Applications with Sparse Neighbourhood Structures

Multi-agent coordination is prevalent in many real-world applications. H...
11/22/2019 ∙ by Timothy Verstraeten, et al. ∙ 0 ∙ share

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Thompson Sampling for Factored Multi-Agent Bandits

Multi-agent coordination is prevalent in many real-world applications. H...
11/22/2019 ∙ by Timothy Verstraeten, et al. ∙ 0 ∙ share

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Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey

The majority of multi-agent system (MAS) implementations aim to optimise...
09/06/2019 ∙ by Roxana Rădulescu, et al. ∙ 0 ∙ share

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Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics

Value-based reinforcement-learning algorithms are currently state-of-the...
03/11/2019 ∙ by Denis Steckelmacher, et al. ∙ 0 ∙ share

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The Actor-Advisor: Policy Gradient With Off-Policy Advice

Actor-critic algorithms learn an explicit policy (actor), and an accompa...
02/07/2019 ∙ by Hélène Plisnier, et al. ∙ 0 ∙ share

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Dynamic Weights in Multi-Objective Deep Reinforcement Learning

Many real-world decision problems are characterized by multiple objectiv...
09/20/2018 ∙ by Axel Abels, et al. ∙ 0 ∙ share

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Directed Policy Gradient for Safe Reinforcement Learning with Human Advice

Many currently deployed Reinforcement Learning agents work in an environ...
08/13/2018 ∙ by Hélène Plisnier, et al. ∙ 0 ∙ share

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Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making

In multi-objective decision planning and learning, much attention is pai...
02/21/2018 ∙ by Luisa M Zintgraf, et al. ∙ 0 ∙ share

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Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies

Pandemic influenza has the epidemic potential to kill millions of people...
11/16/2017 ∙ by Pieter Libin, et al. ∙ 0 ∙ share

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Reinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets

Many real-world reinforcement learning problems have a hierarchical natu...
08/22/2017 ∙ by Denis Steckelmacher, et al. ∙ 0 ∙ share

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Multi-Objective Deep Reinforcement Learning

We propose Deep Optimistic Linear Support Learning (DOL) to solve high-d...
10/09/2016 ∙ by Hossam Mossalam, et al. ∙ 0 ∙ share

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Structure in the Value Function of Two-Player Zero-Sum Games of Incomplete Information

Zero-sum stochastic games provide a rich model for competitive decision ...
06/22/2016 ∙ by Auke J. Wiggers, et al. ∙ 0 ∙ share

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Solving Transition-Independent Multi-agent MDPs with Sparse Interactions (Extended version)

In cooperative multi-agent sequential decision making under uncertainty,...
11/29/2015 ∙ by Joris Scharpff, et al. ∙ 0 ∙ share

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Diederik M. Roijers

Featured Co-authors

Shimon Whiteson

Jakub M. Tomczak

Frans A. Oliehoek

Ann Nowé

Catholijn M. Jonker

Peter Vrancx

A. E. Eiben

Philippe Lemey

Anna Harutyunyan

Matthijs T. J. Spaan

Denis Steckelmacher

Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm

Learning Directed Locomotion in Modular Robots with Evolvable Morphologies

A utility-based analysis of equilibria in multi-objective normal form games

Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping

Multi-Agent Thompson Sampling for Bandit Applications with Sparse Neighbourhood Structures

Thompson Sampling for Factored Multi-Agent Bandits

Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey

Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics

The Actor-Advisor: Policy Gradient With Off-Policy Advice

Dynamic Weights in Multi-Objective Deep Reinforcement Learning

Directed Policy Gradient for Safe Reinforcement Learning with Human Advice

Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making

Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies

Reinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets

Multi-Objective Deep Reinforcement Learning

Structure in the Value Function of Two-Player Zero-Sum Games of Incomplete Information

Solving Transition-Independent Multi-agent MDPs with Sparse Interactions (Extended version)