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Chen Tessler

6 papers · 2019–2025 · 4 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

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+2 more ↓ πŸ—ΊοΈ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Bronze
πŸ‘‘ Triple Crown πŸ† Grand Slam

Venues

ICML (3) AAAI (1) ICLR (1) NeurIPS (1)

Top co-authors

Shie Mannor (4) Gal Dalal (2) Benjamin Fuhrer (2) Doron Haritan Kazakov (1) Amit Mandelbaum (1) Daniel J. Mankowitz (1) Ron Meir (1) Nadav Merlis (1) Yuval Shpigelman (1) Yonathan Efroni (1)

Research topics

Reinforcement Learning (6) Methods (6) Machine Learning (4) Artificial Intelligence (3) Core AI (3) Optimization & Theory (2) Deep Learning (1) Application Areas (1) Applications (1) Core Methods (1) Learning Types Β· Deep Learning (1) Learning Types Β· Machine Learning (1)

Keywords

policy gradient (3) reinforcement learning (2) continuous control (2) policy learning (1) robust reinforcement learning (1) markov decision process (1) off-policy learning (1) partial observability (1) multi-objective optimization (1) safe reinforcement learning (1) generative model (1) constrained policy optimization (1) congestion control (1) network throughput (1) categorical data (1) deep q-network (1) gradient boosting tree (1) overestimation bia (1) double q-learning (1) out-of-distribution sample (1)

Papers

Gradient Boosting Reinforcement Learning ICML 2025 Reinforcement Learning for Datacenter Congestion Control AAAI 2022 Ensemble Bootstrapping for Q-Learning ICML 2021 Action Robust Reinforcement Learning and Applications in Continuous Control ICML 2019 Distributional Policy Optimization: An Alternative Approach for Continuous Control NeurIPS 2019 Reward Constrained Policy Optimization ICLR 2019