Daniel J Mankowitz

11 papers · 2016–2024 · 4 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (18) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer 🧬 Topic Evolution 📈 Trend Setter 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🗃️ Keyword Collector (56)

Venues

NeurIPS (5) ICLR (3) ICML (2) CoRL (1)

Top co-authors

Cosmin Paduraru (4) Tom Zahavy (4) Shie Mannor (3) Nicolas Heess (3) Nir Levine (2) Thomas Paine (2) Caglar Gulcehre (2) Doina Precup (2) Nando de Freitas (2) Côme Fiegel (1)

Research topics

Reinforcement Learning (9) Methods (9) Machine Learning (7) Artificial Intelligence (5) Core AI (5) Learning Types · Machine Learning (4) Optimization & Theory (4) Mathematics & Optimization (2) Deep Learning (1) Applications (1) Bayesian & Probabilistic (1) Core Methods (1) Learning Types · Deep Learning (1) Mathematics (1) Optimization (1)

Keywords

reinforcement learning (3) offline reinforcement learning (2) deep q-network (2) off-policy evaluation (2) policy learning (2) deep reinforcement learning (2) bayesian regularization (1) nash equilibrium (1) policy optimization (1) directed graph (1) text summarization (1) constraint satisfaction (1) value function approximation (1) sequential decision (1) mirror descent (1) policy selection (1) batch reinforcement learning (1) lagrangian relaxation (1) constrained reinforcement learning (1) preference learning (1)

Papers

Nash Learning from Human Feedback ICML 2024 Transformers Meet Directed Graphs ICML 2023 COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation ICLR 2022 A Constrained Multi-Objective Reinforcement Learning Framework CoRL 2021 Active Offline Policy Selection NeurIPS 2021 Balancing Constraints and Rewards with Meta-Gradient D4PG ICLR 2021 Discovering a set of policies for the worst case reward ICLR 2021 RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning NeurIPS 2020 Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning NeurIPS 2018 Shallow Updates for Deep Reinforcement Learning NeurIPS 2017 Adaptive Skills Adaptive Partitions (ASAP) NeurIPS 2016