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Abbas Abdolmaleki

21 papers · 2015–2025 · 8 venues · across top CS/AI venues

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Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (26) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (16) πŸ‘₯ Mega-Team Β· Squad πŸ”¬ Deep Specialist (11) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (98)

Venues

ICLR (7) CoRL (4) ICML (4) RSS (2) IJCAI (1) JMLR (1) L4DC (1) NeurIPS (1)

Top co-authors

Martin Riedmiller (16) Nicolas Heess (12) Jost Tobias Springenberg (11) Thomas Lampe (10) Michael Neunert (10) Roland Hafner (7) Gerhard Neumann (4) Markus Wulfmeier (4) Arunkumar Byravan (4) Tim Hertweck (4)

Research topics

Reinforcement Learning (20) Machine Learning (16) Methods (15) Applications Β· Reinforcement Learning (12) Optimization & Theory (9) Artificial Intelligence (8) Learning Types (7) Core AI (6) Learning Paradigms (3) Robotics (2) Application Areas (2) Mathematics & Optimization (1) Applications Β· Robotics (1) Capabilities (1) Core Methods (1)

Keywords

policy optimization (7) continuous control (7) robot manipulation (3) deep reinforcement learning (3) reinforcement learning (3) trajectory optimization (2) data efficiency (2) stochastic search (2) off-policy learning (2) offline reinforcement learning (2) relative entropy (2) transfer learning (2) policy search (2) maximum a posteriori (2) model-free reinforcement learning (2) multi-task learning (2) policy learning (1) expectation maximization (1) preference optimization (1) preference learning (1)

Papers

Learning from negative feedback, or positive feedback or both ICLR 2025 Offline Actor-Critic Reinforcement Learning Scales to Large Models ICML 2024 Real-world fluid directed rigid body control via deep reinforcement learning L4DC 2024 Evaluating Model-Based Planning and Planner Amortization for Continuous Control ICLR 2022 A Constrained Multi-Objective Reinforcement Learning Framework CoRL 2021 Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes CoRL 2021 Data-efficient Hindsight Off-policy Option Learning ICML 2021 A distributional view on multi-objective policy optimization ICML 2020 Compositional Transfer in Hierarchical Reinforcement Learning RSS 2020 Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning ICLR 2020 Robust Reinforcement Learning for Continuous Control with Model Misspecification ICLR 2020 V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control ICLR 2020 Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics CoRL 2019 Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models CoRL 2019 Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup RSS 2019 Guide Actor-Critic for Continuous Control ICLR 2018 Maximum a Posteriori Policy Optimisation ICLR 2018 Model-Free Trajectory-based Policy Optimization with Monotonic Improvement JMLR 2018 Contextual Covariance Matrix Adaptation Evolutionary Strategies IJCAI 2017 Model-Free Trajectory Optimization for Reinforcement Learning ICML 2016 Model-Based Relative Entropy Stochastic Search NeurIPS 2015