Bilal Kartal - RankMe

28 papers A* 6A 2Misc 1Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery. CoRR Meng Xin, Sweta Priyadarshi, Jingyu Xin, Bilal Kartal, Aditya Vavre, Asma Kuriparambil Thekkumpate, Zijia Chen, Ameya Sunil Mahabaleshwarkar, Ido Shahaf, Akhiad Bercovich, Kinjal Patel, Suguna Varshini Velury, Chenjie Luo, Zhiyu Cheng, Jenny Chen, Chen-Han Yu, Wei Ping, Oleg Rybakov, Nima Tajbakhsh, Oluwatobi Olabiyi, Dusan Stosic, Di Wu, Song Han, Eric Chung, Sharath Turuvekere Sreenivas, Bryan Catanzaro, Yoshi Suhara, Tijmen Blankevoort, Huizi Mao
2025	J	`jnl`	Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games. CoRR Dongmin Park, Minkyu Kim, Beongjun Choi, Junhyuck Kim, Keon Lee, Jonghyun Lee, Inkyu Park, Byeong-Uk Lee, Jaeyoung Hwang, Jaewoo Ahn, Ameya Sunil Mahabaleshwarkar, Bilal Kartal, Pritam Biswas, Yoshi Suhara, Kangwook Lee, Jaewoong Cho
2022	A*	`conf`	PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation. ICRA Alexey Kamenev, Lirui Wang, Ollin Boer Bohan, Ishwar Kulkarni, Bilal Kartal, Artem Molchanov, Stan Birchfield, David Nistér, Nikolai Smolyanskiy
2021	J	`jnl`	PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation. CoRR Alexey Kamenev, Lirui Wang, Ollin Boer Bohan, Ishwar Kulkarni, Bilal Kartal, Artem Molchanov, Stan Birchfield, David Nistér, Nikolai Smolyanskiy
2020	A	`conf`	A Very Condensed Survey and Critique of Multiagent Deep Reinforcement Learning. AAMAS Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2020	A*	`conf`	Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract). AAAI Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2020	A*	`conf`	Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents. AAAI Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2020	J	`jnl`	Work in Progress: Temporally Extended Auxiliary Tasks. CoRR Craig Sherstan, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
2019	J	`jnl`	A survey and critique of multiagent deep reinforcement learning. Auton. Agents Multi Agent Syst. Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2019	—	`conf`	Action Guidance with MCTS for Deep Reinforcement Learning. AIIDE Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
2019	J	`jnl`	Action Guidance with MCTS for Deep Reinforcement Learning. CoRR Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
2019	—	`conf`	Agent Modeling as Auxiliary Task for Deep Reinforcement Learning. AIIDE Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2019	J	`jnl`	Agent Modeling as Auxiliary Task for Deep Reinforcement Learning. CoRR Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2019	—	`conf`	On Hard Exploration for Reinforcement Learning: A Case Study in Pommerman. AIIDE Chao Gao, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
2019	J	`jnl`	On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman. CoRR Chao Gao, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
2019	J	`jnl`	Safer Deep RL with Shallow MCTS: A Case Study in Pommerman. CoRR Bilal Kartal, Pablo Hernandez-Leal, Chao Gao, Matthew E. Taylor
2019	J	`jnl`	Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition. CoRR Chao Gao, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2019	—	`conf`	Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning. AIIDE Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
2019	J	`jnl`	Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning. CoRR Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
2019	Misc	`conf`	Towers of Saliency: A Reinforcement Learning Visualization Using Immersive Environments. ISS Nathan Douglas, Dianna Yim, Bilal Kartal, Pablo Hernandez-Leal, Frank Maurer, Matthew E. Taylor
2018	J	`jnl`	Is multiagent deep reinforcement learning the answer or the question? A brief survey. CoRR Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2018	J	`jnl`	Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL. CoRR Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
2016	—	`conf`	Data Driven Sokoban Puzzle Generation with Monte Carlo Tree Search. AIIDE Bilal Kartal, Nick Sohre, Stephen J. Guy
2016	A*	`conf`	Monte Carlo Tree Search for Multi-Robot Task Allocation. AAAI Bilal Kartal, Ernesto Nunes, Julio Godoy, Maria L. Gini
2016	A*	`conf`	Stochastic Planning in Large Search Spaces. IJCAI Bilal Kartal
2015	A*	`conf`	Stochastic Tree Search with Useful Cycles for patrolling problems. ICRA Bilal Kartal, Julio Godoy, Ioannis Karamouzas, Stephen J. Guy
2014	A	`conf`	User-driven narrative variation in large story domains using monte carlo tree search. AAMAS Bilal Kartal, John Koenig, Stephen J. Guy
2013	—	`conf`	Generating Believable Stories in Large Domains. Intelligent Narrative Technologies Bilal Kartal, John Koenig, Stephen J. Guy