Collaborated with:Pablo Hernandez-Leal M.E.Taylor Nick Sohre Stephen J. Guy Chao Gao
Talks about:reinforc (4) learn (4) deep (3) auxiliari (2) task (2) pommerman (1) sokoban (1) predict (1) guidanc (1) generat (1)
Person: Bilal Kartal
DBLP: Kartal:Bilal
Contributed to:
20162019Wrote 5 papers:
- AIIDE-2016-KartalSG #data-driven #generative #monte carlo
- Data Driven Sokoban Puzzle Generation with Monte Carlo Tree Search (BK, NS, SJG), pp. 58–64.
- AIIDE-2019-GaoKHT #case study #learning #on the
- On Hard Exploration for Reinforcement Learning: A Case Study in Pommerman (CG, BK, PHL, MET), pp. 24–30.
- AIIDE-2019-Hernandez-LealK #learning #modelling
- Agent Modeling as Auxiliary Task for Deep Reinforcement Learning (PHL, BK, MET), pp. 31–37.
- AIIDE-2019-KartalHT #learning #predict
- Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning (BK, PHL, MET), pp. 38–44.
- AIIDE-2019-KartalHT19a #learning
- Action Guidance with MCTS for Deep Reinforcement Learning (BK, PHL, MET), pp. 153–159.