Edoardo Conti

According to our database, Edoardo Conti authored at least 5 papers between 2013 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Benchmarking Batch Deep Reinforcement Learning Algorithms.

Scott Fujimoto, Edoardo Conti, Mohammad Ghavamzadeh, Joelle Pineau

CoRR, 2019

2018

Horizon: Facebook's Open Source Applied Reinforcement Learning Platform.

Jason Gauci, Edoardo Conti, Yitao Liang, Kittipat Virochsiri, Yuchen He, Zachary Kaden, Vivek Narayanan, Xiaohui Ye

CoRR, 2018

Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents.

Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning.

Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti, Joel Lehman, Kenneth O. Stanley, Jeff Clune

CoRR, 2017

2013

Disruptions in the U.S. Airport Network

Edoardo Conti, Steve Cao, Alfred Thomas

CoRR, 2013