Neuro-Symbolic Reinforcement Learning with First-Order Logic

Asynchronous methods for deep reinforcement learning

Volodymyr Mnih, Adria Puigdomenech Badia, Mehdi Mirza, Alex Graves, Timothy Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu. 2016 · 1937

Earlier work this paper cites.

Simple statistical gradient-following algorithms for connectionist reinforcement learning

Ronald J Williams. 1992 · 1992

Earlier work this paper cites.

Long short-term memory

Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997

Earlier work this paper cites.

Planning and acting in partially observable stochastic domains

Leslie Pack Kaelbling, Michael L. Littman, and Anthony R. Cassandra. 1998 · 1998

Earlier work this paper cites.

Conceptnet — a practical commonsense reasoning tool-kit

H. Liu and P. Singh. 2004 · 2004

Earlier work this paper cites.

Playing atari with deep reinforcement learning

Original

Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller. 2013 · 2013

Earlier work this paper cites.

Adam: A method for stochastic optimization

Original

Diederik P Kingma and Jimmy Ba. 2014 · 2014

Earlier work this paper cites.

Human-level control through deep reinforcement learning

Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin A. Riedmiller, Andreas Fidjeland, Georg Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, Dharshan Kumaran, Daan Wierstra, Shane Legg, and Demis Hassabis. 2015 · 2015

Cited alongside, same era.

Language understanding for text-based games using deep reinforcement learning

Karthik Narasimhan, Tejas D. Kulkarni, and Regina Barzilay. 2015 · 2015

Cited alongside, same era.

Textworld: A learning environment for text-based games

Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew J. Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, and Adam Trischler. 2018 · 2018

Cited alongside, same era.

Neural logic machines

Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, and Denny Zhou. 2018 · 2018

Cited alongside, same era.

Daqn: Deep auto-encoder and q-network

Original

Daiki Kimura. 2018 · 2018

Cited alongside, same era.

Playing text-adventure games with graph-based deep reinforcement learning

Prithviraj Ammanabrolu and Mark Riedl. 2019 · 2019

Later among the works it cites.

Learning dynamic belief graphs to generalize on text-based games

Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikuláŝ Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, and William L. Hamilton. 2020 · 2020

Later among the works it cites.

Ledeepchef deep reinforcement learning agent for families of text-based games

Leonard Adolphs and Thomas Hofmann. 2020 · 2020

Later among the works it cites.

Bootstrapped q-learning with context relevant observation pruning to generalize in text-based games

Subhajit Chaudhury, Daiki Kimura, Kartik Talamadupula, Michiaki Tatsubori, Asim Munawar, and Ryuki Tachibana. 2020 · 2020

Later among the works it cites.

Logical neural networks

Original

Ryan Riegel, Alexander Gray, Francois Luus, Naweed Khan, Ndivhuwo Makondo, Ismail Yunus Akhalwaya, Haifeng Qian, Ronald Fagin, Francisco Barahona, Udit Sharma, Shajith Ikbal, Hima Karanam, Sumit Neelam, Ankita Likhyani, and Santosh Srivastava. 2020 · 2020