Bilal Kartal

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 23

Top Topics

Immersive Environments

Monte Carlo Tree Search

Temporal Difference

Top Venues

Publications

Alexey Kamenev, Lirui Wang, Ollin Boer Bohan, Ishwar Kulkarni, Bilal Kartal, Artem Molchanov, Stan Birchfield, David Nistér, Nikolai Smolyanskiy
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation. ICRA (2022)
Alexey Kamenev, Lirui Wang, Ollin Boer Bohan, Ishwar Kulkarni, Bilal Kartal, Artem Molchanov, Stan Birchfield, David Nistér, Nikolai Smolyanskiy
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation. CoRR (2021)
Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
A Very Condensed Survey and Critique of Multiagent Deep Reinforcement Learning. AAMAS (2020)
Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents. AAAI (2020)
Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract). AAAI (2020)
Craig Sherstan, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
Work in Progress: Temporally Extended Auxiliary Tasks. CoRR (2020)
Chao Gao, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition. CoRR (2019)
Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning. CoRR (2019)
Chao Gao, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
On Hard Exploration for Reinforcement Learning: A Case Study in Pommerman. AIIDE (2019)
Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
Agent Modeling as Auxiliary Task for Deep Reinforcement Learning. AIIDE (2019)
Chao Gao, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman. CoRR (2019)
Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
Action Guidance with MCTS for Deep Reinforcement Learning. CoRR (2019)
Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning. AIIDE (2019)
Nathan Douglas, Dianna Yim, Bilal Kartal, Pablo Hernandez-Leal, Frank Maurer, Matthew E. Taylor
Towers of Saliency: A Reinforcement Learning Visualization Using Immersive Environments. ISS (2019)
Bilal Kartal, Pablo Hernandez-Leal, Chao Gao, Matthew E. Taylor
Safer Deep RL with Shallow MCTS: A Case Study in Pommerman. CoRR (2019)
Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
Agent Modeling as Auxiliary Task for Deep Reinforcement Learning. CoRR (2019)
Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
Action Guidance with MCTS for Deep Reinforcement Learning. AIIDE (2019)
Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
A survey and critique of multiagent deep reinforcement learning. Auton. Agents Multi Agent Syst. 33 (6) (2019)
Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL. CoRR (2018)
Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
Is multiagent deep reinforcement learning the answer or the question? A brief survey. CoRR (2018)
Bilal Kartal, Ernesto Nunes, Julio Godoy, Maria L. Gini
Monte Carlo Tree Search for Multi-Robot Task Allocation. AAAI (2016)
Bilal Kartal
Stochastic Planning in Large Search Spaces. IJCAI (2016)
Bilal Kartal, Nick Sohre, Stephen J. Guy
Data Driven Sokoban Puzzle Generation with Monte Carlo Tree Search. AIIDE (2016)
Bilal Kartal, Julio Godoy, Ioannis Karamouzas, Stephen J. Guy
Stochastic Tree Search with Useful Cycles for patrolling problems. ICRA (2015)
Bilal Kartal, John Koenig, Stephen J. Guy
User-driven narrative variation in large story domains using monte carlo tree search. AAMAS (2014)
Bilal Kartal, John Koenig, Stephen J. Guy
Generating Believable Stories in Large Domains. Intelligent Narrative Technologies (2013)