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Nir Baram
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2020 – today
- 2021
- [c3]Nir Baram, Guy Tennenholtz, Shie Mannor:
Action redundancy in reinforcement learning. UAI 2021: 376-385 - [i7]Guy Tennenholtz, Nir Baram, Shie Mannor:
GELATO: Geometrically Enriched Latent Model for Offline Reinforcement Learning. CoRR abs/2102.11327 (2021) - [i6]Nir Baram, Guy Tennenholtz, Shie Mannor:
Action Redundancy in Reinforcement Learning. CoRR abs/2102.11329 (2021) - [i5]Nir Baram, Guy Tennenholtz, Shie Mannor:
Maximum Entropy Reinforcement Learning with Mixture Policies. CoRR abs/2103.10176 (2021)
2010 – 2019
- 2018
- [i4]Nir Baram, Shie Mannor:
Inspiration Learning through Preferences. CoRR abs/1809.05872 (2018) - 2017
- [c2]Oron Anschel, Nir Baram, Nahum Shimkin:
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning. ICML 2017: 176-185 - [c1]Nir Baram, Oron Anschel, Itai Caspi, Shie Mannor:
End-to-End Differentiable Adversarial Imitation Learning. ICML 2017: 390-399 - 2016
- [i3]Nir Baram, Tom Zahavy, Shie Mannor:
Deep Reinforcement Learning Discovers Internal Models. CoRR abs/1606.05174 (2016) - [i2]Oron Anschel, Nir Baram, Nahum Shimkin:
Deep Reinforcement Learning with Averaged Target DQN. CoRR abs/1611.01929 (2016) - [i1]Nir Baram, Oron Anschel, Shie Mannor:
Model-based Adversarial Imitation Learning. CoRR abs/1612.02179 (2016)
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