default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBilal Kartal
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2022
[c15]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: 8936-8942- 2021
- [i10]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 abs/2109.11094 (2021) - 2020
- [c14]Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents. AAAI 2020: 5792-5799 - [c13]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: 13913-13914 - [c12]Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
A Very Condensed Survey and Critique of Multiagent Deep Reinforcement Learning. AAMAS 2020: 2146-2148 - [i9]Craig Sherstan, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
Work in Progress: Temporally Extended Auxiliary Tasks. CoRR abs/2004.00600 (2020)
2010 – 2019
- 2019
- [j1]Pablo Hernandez-Leal
, Bilal Kartal, Matthew E. Taylor:
A survey and critique of multiagent deep reinforcement learning. Auton. Agents Multi Agent Syst. 33(6): 750-797 (2019) - [c11]Chao Gao, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
On Hard Exploration for Reinforcement Learning: A Case Study in Pommerman. AIIDE 2019: 24-30 - [c10]Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
Agent Modeling as Auxiliary Task for Deep Reinforcement Learning. AIIDE 2019: 31-37 - [c9]Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning. AIIDE 2019: 38-44 - [c8]Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
Action Guidance with MCTS for Deep Reinforcement Learning. AIIDE 2019: 153-159 - [c7]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: 339-342 - [i8]Bilal Kartal, Pablo Hernandez-Leal, Chao Gao, Matthew E. Taylor:
Safer Deep RL with Shallow MCTS: A Case Study in Pommerman. CoRR abs/1904.05759 (2019) - [i7]Chao Gao, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition. CoRR abs/1905.01360 (2019) - [i6]Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
Agent Modeling as Auxiliary Task for Deep Reinforcement Learning. CoRR abs/1907.09597 (2019) - [i5]Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning. CoRR abs/1907.10827 (2019) - [i4]Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
Action Guidance with MCTS for Deep Reinforcement Learning. CoRR abs/1907.11703 (2019) - [i3]Chao Gao, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman. CoRR abs/1907.11788 (2019) - 2018
- [i2]Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
Is multiagent deep reinforcement learning the answer or the question? A brief survey. CoRR abs/1810.05587 (2018) - [i1]Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL. CoRR abs/1812.00045 (2018) - 2016
- [c6]Bilal Kartal, Ernesto Nunes, Julio Godoy, Maria L. Gini:
Monte Carlo Tree Search for Multi-Robot Task Allocation. AAAI 2016: 4222-4223 - [c5]Bilal Kartal, Nick Sohre, Stephen J. Guy:
Data Driven Sokoban Puzzle Generation with Monte Carlo Tree Search. AIIDE 2016: 58-64 - [c4]Bilal Kartal:
Stochastic Planning in Large Search Spaces. IJCAI 2016: 4000-4001 - 2015
- [c3]Bilal Kartal, Julio Godoy, Ioannis Karamouzas, Stephen J. Guy:
Stochastic Tree Search with Useful Cycles for patrolling problems. ICRA 2015: 1289-1294 - 2014
- [c2]Bilal Kartal, John Koenig, Stephen J. Guy:
User-driven narrative variation in large story domains using monte carlo tree search. AAMAS 2014: 69-76 - 2013
- [c1]Bilal Kartal, John Koenig, Stephen J. Guy:
Generating Believable Stories in Large Domains. Intelligent Narrative Technologies 2013
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-24 23:08 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
