Nir Baram

According to our database, Nir Baram authored at least 9 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Maximum Entropy Reinforcement Learning with Mixture Policies.

Nir Baram, Guy Tennenholtz, Shie Mannor

CoRR, 2021

GELATO: Geometrically Enriched Latent Model for Offline Reinforcement Learning.

Guy Tennenholtz, Nir Baram, Shie Mannor

CoRR, 2021

Action redundancy in reinforcement learning.

Nir Baram, Guy Tennenholtz, Shie Mannor

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2018

Inspiration Learning through Preferences.

Nir Baram, Shie Mannor

CoRR, 2018

2017

End-to-End Differentiable Adversarial Imitation Learning.

Nir Baram, Oron Anschel, Itai Caspi, Shie Mannor

Proceedings of the 34th International Conference on Machine Learning, 2017

Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning.

Oron Anschel, Nir Baram, Nahum Shimkin

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Deep Reinforcement Learning Discovers Internal Models.

Nir Baram, Tom Zahavy, Shie Mannor

CoRR, 2016

Model-based Adversarial Imitation Learning.

Nir Baram, Oron Anschel, Shie Mannor

CoRR, 2016

Deep Reinforcement Learning with Averaged Target DQN.

Oron Anschel, Nir Baram, Nahum Shimkin

CoRR, 2016