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2020 – today
- 2024
[i4]Joseph Clinton, Robert Lieck:
Planning Transformer: Long-Horizon Offline Reinforcement Learning with Planning Tokens. CoRR abs/2409.09513 (2024)- 2021
- [c6]Robert Lieck, Leona Wall, Martin A. Rohrmeier:
Discretisation and Continuity: Simulating the Emergence of Symbols in Communication Games. CogSci 2021 - [c5]Robert Lieck, Martin Rohrmeier:
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks. NeurIPS 2021: 4370-4383 - [i3]Robert Lieck, Martin Rohrmeier:
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks. CoRR abs/2111.01853 (2021) - 2020
- [j2]Robert Lieck, Fabian C. Moss, Martin Rohrmeier
:
The Tonal Diffusion Model. Trans. Int. Soc. Music. Inf. Retr. 3(1): 153 (2020) - [c4]Robert Lieck, Martin Rohrmeier:
Modelling Hierarchical Key Structure With Pitch Scapes. ISMIR 2020: 811-818 - [c3]Thibault Jaccard, Robert Lieck, Martin Rohrmeier:
AutoScale: Automatic and Dynamic Scale Selection for Live Jazz Improvisation. NIME 2020: 422-427
2010 – 2019
- 2018
- [b1]Robert Lieck:
Learning structured models for active planning: beyond the Markov paradigm towards adaptable abstractions. University of Stuttgart, Germany, 2018 - 2017
- [c2]Jonas Langhabel, Robert Lieck, Marc Toussaint, Martin Rohrmeier:
Feature Discovery for Sequential Prediction of Monophonic Music. ISMIR 2017: 649-656 - [i2]Vicky Charisi, Louise A. Dennis, Michael Fisher, Robert Lieck, Andreas Matthias, Marija Slavkovik, Janina Sombetzki, Alan F. T. Winfield, Roman Yampolskiy:
Towards Moral Autonomous Systems. CoRR abs/1703.04741 (2017) - 2016
- [j1]Robert Lieck, Marc Toussaint:
Temporally extended features in model-based reinforcement learning with partial observability. Neurocomputing 192: 49-60 (2016) - 2015
- [c1]Robert Lieck, Marc Toussaint:
Discovering temporally extended features for reinforcement learning in domains with delayed causalities. ESANN 2015 - 2014
- [i1]Johannes Kulick, Robert Lieck, Marc Toussaint:
Active Learning of Hyperparameters: An Expected Cross Entropy Criterion for Active Model Selection. CoRR abs/1409.7552 (2014)
Coauthor Index
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last updated on 2024-10-14 23:30 CEST by the dblp team
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