Alper Demіr

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All published works

Action	Title	Year	Authors
+ PDF Chat	Learning what to memorize: Using intrinsic motivation to form useful memory in partially observable reinforcement learning	2023	Alper Demіr
+	Learning What to Memorize: Using Intrinsic Motivation to Form Useful Memory in Partially Observable Reinforcement Learning	2021	Alper Demіr
+	Learning What to Memorize: Using Intrinsic Motivation to Form Useful Memory in Partially Observable Reinforcement Learning	2021	Alper Demіr
+	Random Input Sampling for Complex Models Using Markov Chain Monte Carlo	2012	A. Gokcen Mahmutoglu Alper T. Erdoğan Alper Demіr
+	Random Input Sampling for Complex Models Using Markov Chain Monte Carlo	2012	A. Gokcen Mahmutoglu Alper T. Erdoğan Alper Demіr

Common Coauthors

Coauthor	Papers Together
A. Gokcen Mahmutoglu	2
Alper T. Erdoğan	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation Sets	2018	Denis Steckelmacher Diederik M. Roijers Anna Harutyunyan Peter Vrancx Hélène Plisnier Ann Nowé	2
+	A Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes	2018	Tuyen P. Le Ngo Anh Vien TaeChoong Chung	2
+ PDF Chat	Deep Reinforcement Learning That Matters	2018	Peter Henderson Riashat Islam Philip Bachman Joëlle Pineau Doina Precup David Meger	2
+	Mixture Densities, Maximum Likelihood and the EM Algorithm	1984	Richard A. Redner Homer F. Walker	1
+ PDF Chat	Monte Carlo Statistical Methods	2000	Hoon Kim Christian P. Robert George Casella	1
+ PDF Chat	On the convergence of the Markov chain simulation method	1996	Krishna B. Athreya Hani Doss Jayaram Sethuraman	1
+ PDF Chat	A note on Metropolis-Hastings kernels for general state spaces	1998	Luke Tierney	1
+ PDF Chat	Markov Chains for Exploring Posterior Distributions	1994	Luke Tierney	1
+	Monte Carlo sampling methods using Markov chains and their applications	1970	W. Keith Hastings	1
+	Sample Efficient Actor-Critic with Experience Replay	2016	Ziyu Wang Victor Bapst Nicolas Heess Volodymyr Mnih Rémi Munos Koray Kavukcuoglu Nando de Freitas	1
+	Count-Based Exploration with Neural Density Models	2017	Georg Ostrovski Marc G. Bellemare Aäron van den Oord Rémi Munos	1
+	On Improving Deep Reinforcement Learning for POMDPs	2017	Pengfei Zhu Xin Li Pascal Poupart Guanghui Miao	1
+	Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration	2019	Jingwei Zhang Niklas Wetzel Nicolai Dorka Joschka Boedecker Wolfram Burgard	1
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	1
+	None	2002	Πέτρος Δελλαπόρτας Jonathan J. Forster Ioannis Ntzoufras	1
+	A survey on intrinsic motivation in reinforcement learning	2019	Arthur Aubret Laëtitia Matignon Salima Hassas	1
+	Learning Policies with External Memory	1999	Leonid Peshkin Nicolas Meuleau Leslie Pack Kaelbling	1
+	Solving POMDPs by searching the space of finite policies	1999	Nicolas Meuleau Kee-Eung Kim Leslie Pack Kaelbling Anthony R. Cassandra	1