Nir Baram

3 papers · 2017–2021 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

ICML (2) UAI (1)

Top co-authors

Shie Mannor (2) Oron Anschel (2) Guy Tennenholtz (1) Nahum Shimkin (1) Itai Caspi (1)

Research topics

Reinforcement Learning (3) Methods (3) Machine Learning (2) Learning Types (2) Optimization & Theory (1)

Keywords

deep reinforcement learning (1) policy optimization (1) policy gradient (1) gradient estimation (1) arcade learning environment (1) model-based reinforcement learning (1) variance reduction (1) value function estimation (1) differentiable programming (1) entropy regularization (1) generative adversarial network (1) adversarial imitation learning (1) q-value estimation (1) maximum entropy reinforcement learning (1) target value approximation (1) action redundancy (1) transition entropy (1)

Papers

Action redundancy in reinforcement learning UAI 2021 Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning ICML 2017 End-to-End Differentiable Adversarial Imitation Learning ICML 2017