Haitham Bou-Ammar

发表

Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer pdf

Yusen Zhan, Haitham Bou-Ammar, Matthew E. Taylor, 2016, IJCAI.

Conditional Restricted Boltzmann Machines for Negotiations in Highly Competitive and Complex Domains

Gerhard Weiss, Haitham Bou-Ammar, Karl Tuyls, 2013, IJCAI.

Evolutionary Dynamics of Ant Colony Optimization

Haitham Bou-Ammar, Karl Tuyls, Michael Kaisers, 2012, MATES.

On the skewed degree distribution of hierarchical networks

Gerhard Weiss, Haitham Bou-Ammar, Bijan Ranjbar Sahraei, 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Are we Forgetting about Compositional Optimisers in Bayesian Optimisation? pdf

Haitham Bou-Ammar, Ryan-Rhys Griffiths, Jun Wang, 2020, J. Mach. Learn. Res..

Regularised Deep Reinforcement Learning with Guaranteed Convergence

Haitham Bou-Ammar, Jordi Grau-Moya, Felix Leibfried, 2017 .

On the prevalence of hierarchies in social networks

Gerhard Weiss, Haitham Bou-Ammar, Bijan Ranjbar Sahraei, 2016, Social Network Analysis and Mining.

Optimizing complex automated negotiation using sparse pseudo-input gaussian processes

Gerhard Weiss, Haitham Bou-Ammar, Karl Tuyls, 2013, AAMAS.

Learning to Communicate Implicitly by Actions

Haitham Bou-Ammar, Lisheng Wu, Zheng Tian, 2018, AAAI.

Compositional ADAM: An Adaptive Compositional Solver pdf

Haitham Bou-Ammar, Jun Wang, Rasul Tutunov, 2020, ArXiv.

Conformity-Based Transfer AdaBoost Algorithm

Ralf Peeters, Haitham Bou-Ammar, Evgueni N. Smirnov, 2013, AIAI.

Evolution of cooperation in arbitrary complex networks

Gerhard Weiss, Haitham Bou-Ammar, Bijan Ranjbar Sahraei, 2014, AAMAS.

Fast, accurate second order methods for network optimization

Haitham Bou-Ammar, Ali Jadbabaie, Rasul Tutunov, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

An exact distributed newton method for reinforcement learning

Haitham Bou-Ammar, Ali Jadbabaie, Rasul Tutunov, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Online Multi-Task Gradient Temporal-Difference Learning

Eric Eaton, Haitham Bou-Ammar, Vishnu Purushothaman Sreenivasan, 2014, AAAI.

Automatically Mapped Transfer between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines

Haitham Bou-Ammar, Matthew E. Taylor, Kurt Driessens, 2013, ECML/PKDD.

Distributed lifelong reinforcement learning with sub-linear regret

Haitham Bou-Ammar, Ali Jadbabaie, Rasul Tutunov, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Theory of Cooperation in Complex Social Networks

Gerhard Weiss, Haitham Bou-Ammar, Bijan Ranjbar Sahraei, 2014, AAAI.

Nonlinear tracking and landing controller for quadrotor aerial robots

Holger Voos, Haitham Bou-Ammar, 2010, 2010 IEEE International Conference on Control Applications.

Influencing Social Networks: An Optimal Control Study

Gerhard Weiss, Haitham Bou-Ammar, Bijan Ranjbar Sahraei, 2014, ECAI.

A Fast Distributed Solver for Symmetric Diagonally Dominant Linear Equations pdf

Haitham Bou-Ammar, Ali Jadbabaie, Rasul Tutunov, 2015, ArXiv.

Nonconvex Policy Search Using Variational Inequalities

Yusen Zhan, Haitham Bou-Ammar, Matthew E. Taylor, 2017, Neural Computation.

Distributed Newton Method for Large-Scale Consensus Optimization

Haitham Bou-Ammar, Ali Jadbabaie, Rasul Tutunov, 2016, IEEE Transactions on Automatic Control.

Reduced reference image quality assessment via Boltzmann Machines

Haitham Bou-Ammar, Decebal Constantin Mocanu, Antonio Liotta, 2015, 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM).

HEBO: Heteroscedastic Evolutionary Bayesian Optimisation pdf

Haitham Bou-Ammar, Jianye Hao, Zhi Wang, 2020, ArXiv.

Scalable Multitask Policy Gradient Reinforcement Learning

Haitham Bou-Ammar, Matthew E. Taylor, Salam El Bsat, 2017, AAAI.

Factored four way conditional restricted Boltzmann machines for activity recognition

Haitham Bou-Ammar, Kurt Driessens, Karl Tuyls, 2015, Pattern Recognit. Lett..

Swarm-based evaluation of nonparametric SysML mechatronics system design

Gerhard Weiss, Holger Voos, Haitham Bou-Ammar, 2013, 2013 IEEE International Conference on Mechatronics (ICM).

On the Degree Distribution of Pólya Urn Graph Processes pdf

Eric Eaton, Haitham Bou-Ammar, Ali Jadbabaie, 2014, ArXiv.

Multi-View Reinforcement Learning

Haitham Bou-Ammar, Lisheng Wu, Jun Wang, 2019, NeurIPS.

Automated Transfer for Reinforcement Learning Tasks

Gerhard Weiss, Haitham Bou-Ammar, Karl Tuyls, 2013, KI - Künstliche Intelligenz.

Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment

Eric Eaton, Haitham Bou-Ammar, Matthew E. Taylor, 2015, AAAI.

Wasserstein Robust Reinforcement Learning pdf

Haitham Bou-Ammar, Mohammed Abdullah, Jun Wang, 2019, ArXiv.

Reinforcement learning transfer via sparse coding

Haitham Bou-Ammar, Matthew E. Taylor, Kurt Driessens, 2012, AAMAS.

Balancing Two-Player Stochastic Games with Soft Q-Learning pdf

Haitham Bou-Ammar, Jordi Grau-Moya, Felix Leibfried, 2018, IJCAI.

Derivative-Free & Order-Robust Optimisation

Haitham Bou-Ammar, Michal Valko, Victor Gabillon, 2019, AISTATS.

Correctness-by-Learning of Infinite-State Component-Based Systems

Haitham Bou-Ammar, Mohamad Jaber, Mohamed Nassar, 2017, FACS.

αα-Rank: Scalable Multi-agent Evaluation through Evolution pdf

Haitham Bou-Ammar, Yaodong Yang, Jun Wang, 2019, ArXiv.

Scalable lifelong reinforcement learning

Yusen Zhan, Haitham Bou-Ammar, Matthew E. Taylor, 2017, Pattern Recognit..

Controller design for quadrotor UAVs using reinforcement learning

Holger Voos, Haitham Bou-Ammar, Wolfgang Ertel, 2010, 2010 IEEE International Conference on Control Applications.

Inexpensive user tracking using Boltzmann Machines

Haitham Bou-Ammar, Decebal Constantin Mocanu, Antonio Liotta, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

An Information-Theoretic Optimality Principle for Deep Reinforcement Learning pdf

Haitham Bou-Ammar, Jordi Grau-Moya, Felix Leibfried, 2017, ArXiv.

Model-Based Stabilisation of Deep Reinforcement Learning pdf

Haitham Bou-Ammar, Peter Vrancx, Felix Leibfried, 2018, ArXiv.

Distributed Multitask Reinforcement Learning with Quadratic Convergence

Haitham Bou-Ammar, Rasul Tutunov, Dongho Kim, 2018, NeurIPS.

αα-Rank: Practically Scaling α-Rank through Stochastic Optimisation

Haitham Bou-Ammar, Yaodong Yang, Rasul Tutunov, 2020, AAMAS.

Online Multi-Task Learning for Policy Gradient Methods

Eric Eaton, Haitham Bou-Ammar, Matthew E. Taylor, 2014, ICML.

Reinforcement Learning Transfer Using a Sparse Coded Inter-task Mapping

Gerhard Weiss, Haitham Bou-Ammar, Matthew E. Taylor, 2011, EUMAS.

Learning High-level Representations from Demonstrations pdf

Haitham Bou-Ammar, Peter Vrancx, Garrett Andersen, 2018, ArXiv.

Estimating 3D Trajectories from 2D Projections via Disjunctive Factored Four-Way Conditional Restricted Boltzmann Machines pdf

Eric Eaton, Antonio Liotta, Luis Puig, 2017, Pattern Recognit..

Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret pdf

Eric Eaton, Haitham Bou-Ammar, Rasul Tutunov, 2015, ICML.

Reinforcement Learning Transfer via Common Subspaces

Haitham Bou-Ammar, Matthew E. Taylor, Haitham Bou-Ammar, 2011, ALA.

Transfer for Automated Negotiation

Gerhard Weiss, Haitham Bou-Ammar, Karl Tuyls, 2013, KI - Künstliche Intelligenz.

Autonomous Cross-Domain Knowledge Transfer in Lifelong Policy Gradient Reinforcement Learning

Eric Eaton, Haitham Bou-Ammar, Paul Ruvolo, 2015, IJCAI.

High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning pdf

Zhitang Chen, Haitham Bou-Ammar, Jan Peters, 2021, ArXiv.

Robot Reinforcement Learning on the Constraint Manifold

Haitham Bou-Ammar, Jan Peters, Davide Tateo, 2021, CoRL.

Efficient and Reactive Planning for High Speed Robot Air Hockey

Haitham Bou-Ammar, Jan Peters, Davide Tateo, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Online Double Oracle pdf

Haitham Bou-Ammar, Yaodong Yang, Le Cong Dinh, 2021, ArXiv.

Implicit Variational Conditional Sampling with Normalizing Flows pdf

Haitham Bou-Ammar, Aivar Sootla, Vincent Moens, 2021, ArXiv.