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Bilal Kartal — most-cited papers & profile · Reinforcement Learning
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Bilal Kartal
14
papers ·
124
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning
2019 · 31 citations
Agent Modeling as Auxiliary Task for Deep Reinforcement Learning
2019 · 29 citations
Action Guidance with MCTS for Deep Reinforcement Learning
2019 · 18 citations
Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition
2019 · 15 citations
Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL
2018 · 7 citations
Safer Deep RL with Shallow MCTS: A Case Study in Pommerman
2019 · 5 citations
On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman
2019 · 4 citations
Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2026
Work in Progress: Temporally Extended Auxiliary Tasks
2020
Top co-authors
Matthew E. Taylor
· 4
Chao Gao
· 3
Aaron Blakeman
· 1
Abhibha Gupta
· 1
Abhilash Somasamudramath
· 1
Abhinav Khattar
· 1
Adi Renduchintala
· 1
Aditya Agrawal
· 1
Aditya Vavre
· 1
Akanksha Shukla
· 1
Akhiad Bercovich
· 1
Aleksander Ficek
· 1
Topics
Game AI
Multi-Agent
Model-Based RL
Policy Gradient
Safe RL
Exploration
cs.LG
cs.AI
cs.CL
Value-Based