The reinforcement learning competition

By Christos Dimitrakakis, Nikolaos Tziortziotis. 2014

15 citations recorded by the source corpus.

Subfields: Reinforcement Learning

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Reinforcement Learning

1. Sergey Levine
2. Pieter Abbeel
3. Chelsea Finn
4. Shixiang Shane Gu
5. Shimon Whiteson
6. Abhishek Gupta
7. Ofir Nachum
8. Joelle Pineau

Citations in the corpus

• OpenAI Gym (2016, background): “A variety of benchmarks have been released, such as the Arcade Learning Environment (ALE) [5], which exposed a collection of Atari 2600 games as reinforcement learning problems, and recently the RLLab benchmark for continuous control [6], to which we refer the reader for a survey on other RL benchma”
• Benchmarking Deep Reinforcement Learning for Continuous Control (2016, background): “A series of RL competitions has also been held in recent years (Dutech et al., 2005; Dimitrakakis et al., 2014), again with relatively low-dimensional actions.”