Wendelin Böhmer

is this you? claim profile

0 followers

∙

University of Oxford

∙

Berlin Institute of Technology (Technische Universität Berlin)

∙

Delft University of Technology

Featured Co-authors

Shimon Whiteson
83 publications
Fei Sha
61 publications
Philip Torr
40 publications
N. Siddharth
23 publications
Klaus Obermayer
17 publications
Nantas Nardelli
15 publications
Christian Schroeder de Witt
15 publications
Vitaly Kurin
14 publications
Maximilian Igl
13 publications
Bei Peng
10 publications
Tabish Rashid
9 publications

∙ 10/06/2020

UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning

This paper focuses on cooperative value-based multi-agent reinforcement ...

Tarun Gupta, et al. ∙

∙ 06/07/2020

AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning

Real world multi-agent tasks often involve varying types and quantities ...

Shariq Iqbal, 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...

Christian Schroeder de Witt, et al. ∙

∙ 02/26/2020

Optimistic Exploration even with a Pessimistic Initialisation

Optimistic initialisation is an effective strategy for efficient explora...

Tabish Rashid, et al. ∙

∙ 09/27/2019

Deep Coordination Graphs

This paper introduces the deep coordination graph (DCG) for collaborativ...

Wendelin Böhmer, et al. ∙

∙ 06/05/2019

Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning

This paper investigates the use of intrinsic reward to guide exploration...

Wendelin Böhmer, et al. ∙

∙ 04/01/2019

Multitask Soft Option Learning

We present Multitask Soft Option Learning (MSOL), a hierarchical multita...

Maximilian Igl, et al. ∙

∙ 12/22/2016

Non-Deterministic Policy Improvement Stabilizes Approximated Reinforcement Learning

This paper investigates a type of instability that is linked to the gree...

Wendelin Böhmer, et al. ∙

∙ 12/19/2014

Regression with Linear Factored Functions

Many applications that use empirically estimated functions face a curse ...

Wendelin Böhmer, et al. ∙

∙ 05/04/2012

Robot Navigation using Reinforcement Learning and Slow Feature Analysis

The application of reinforcement learning algorithms onto real life prob...

Wendelin Böhmer, et al. ∙