MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments

“Metatrace: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning Control”

Original

Kenny Young, Baoxiang Wang and Matthew Taylor · 1903

Earlier work this paper cites.

“Model-free reinforcement learning with continuous action in practice”

Thomas Degris, Patrick Pilarski and Richard Sutton · 2012

Earlier work this paper cites.

“Lecture 6.5-RMSProp: Divide the gradient by a running average of its recent magnitude”

Tijmen Tieleman and Geoffrey Hinton · 2012

Earlier work this paper cites.

“Mujoco: A physics engine for model-based control”

Emanuel Todorov, Tom Erez and Yuval Tassa · 2012

Earlier work this paper cites.

“The Arcade Learning Environment: An Evaluation Platform for General Agents”

M.. Bellemare, Y. Naddaf, J. Veness and M. Bowling · 2013

Earlier work this paper cites.

“Adam: A method for stochastic optimization”

Original

Diederik Kingma and Jimmy Ba · 2014

Earlier work this paper cites.

“Human-level control through deep reinforcement learning”

Volodymyr Mnih et al · 2015

Cited alongside, same era.

“Mastering the game of Go with deep neural networks and tree search”

David Silver et al · 2016

Cited alongside, same era.

“PyGame Learning Environment”

Norman Tasfi · 2016

Cited alongside, same era.

“Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents”

Original

Marlos. Machado et al · 2017

Cited alongside, same era.

“Self-correcting models for model-based reinforcement learning”

Erik Talvitie · 2017

Cited alongside, same era.

“StarCraft II: A new challenge for reinforcement learning”

Original

Oriol Vinyals et al · 2017

Later among the works it cites.

“Sigmoid-weighted linear units for neural network function approximation in reinforcement learning”

Stefan Elfwing, Eiji Uchibe and Kenji Doya · 2018

Later among the works it cites.

“Deep reinforcement learning that matters”

Peter Henderson et al · 2018

Later among the works it cites.

“Reinforcement learning: An introduction”

Richard Sutton and Andrew Barto · 2018

Later among the works it cites.

“Deepmind control suite”

Original

Yuval Tassa et al · 2018

Later among the works it cites.