Bilal Kartal

According to our database, Bilal Kartal authored at least 21 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation.

Alexey Kamenev, Lirui Wang, Ollin Boer Bohan, Ishwar Kulkarni, Bilal Kartal, Artem Molchanov, Stan Birchfield, David Nistér, Nikolai Smolyanskiy

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2020

Work in Progress: Temporally Extended Auxiliary Tasks.

Craig Sherstan, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor

CoRR, 2020

A Very Condensed Survey and Critique of Multiagent Deep Reinforcement Learning.

Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents.

Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract).

Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition.

Chao Gao, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor

CoRR, 2019

Safer Deep RL with Shallow MCTS: A Case Study in Pommerman.

Bilal Kartal, Pablo Hernandez-Leal, Chao Gao, Matthew E. Taylor

CoRR, 2019

A survey and critique of multiagent deep reinforcement learning.

Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor

Auton. Agents Multi Agent Syst., 2019

Towers of Saliency: A Reinforcement Learning Visualization Using Immersive Environments.

Nathan Douglas, Dianna Yim, Bilal Kartal, Pablo Hernandez-Leal, Frank Maurer, Matthew E. Taylor

Proceedings of the 2019 ACM International Conference on Interactive Surfaces and Spaces, 2019

Action Guidance with MCTS for Deep Reinforcement Learning.

Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor

Proceedings of the Fifteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2019

Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning.

Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor

Proceedings of the Fifteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2019

Agent Modeling as Auxiliary Task for Deep Reinforcement Learning.

Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor

Proceedings of the Fifteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2019

On Hard Exploration for Reinforcement Learning: A Case Study in Pommerman.

Chao Gao, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor

Proceedings of the Fifteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2019

2018

Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL.

Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor

CoRR, 2018

Is multiagent deep reinforcement learning the answer or the question? A brief survey.

Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor

CoRR, 2018

2016

Stochastic Planning in Large Search Spaces.

Bilal Kartal

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Data Driven Sokoban Puzzle Generation with Monte Carlo Tree Search.

Bilal Kartal, Nick Sohre, Stephen J. Guy

Proceedings of the Twelfth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2016

Monte Carlo Tree Search for Multi-Robot Task Allocation.

Bilal Kartal, Ernesto Nunes, Julio Godoy, Maria L. Gini

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Stochastic Tree Search with Useful Cycles for patrolling problems.

Bilal Kartal, Julio Godoy, Ioannis Karamouzas, Stephen J. Guy

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

User-driven narrative variation in large story domains using monte carlo tree search.

Bilal Kartal, John Koenig, Stephen J. Guy

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013

Generating Believable Stories in Large Domains.

Bilal Kartal, John Koenig, Stephen J. Guy

Proceedings of the Intelligent Narrative Technologies VI, 2013