- Decision theory
- Reinforcement learning
- Machine learning
- Decision making under uncertainty (period 2)
- Discrete optimization (period 3)
- Artificial Intelligence (period 4)
- AISec 2013 workshop, Berlin.
- RL Competition 2014.
- Monte-Carlo utility estimates for Bayesian reinforcement learning, IEEE CDC 2013.
- Probabilistic inverse reinforcement learning in unknown environment, UAI 2013.
- ABC reinforcement learning, ICML 2013.
- Linear Bayesian reinforcement learning, IJCAI 2013.
- On selecting the nonce length in distance bounding
protocols, The Computer Journal.
- Network Self-organization Explains the Statistics and
Dynamics of Synaptic Connection Strengths in
Cortex, PLoS CB.