← Authors

Abbas Abdolmaleki

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

Achievements

🌍 Conference Polyglot (8) πŸ—ΊοΈ Taxonomy Completionist (15) 🐝 Cross-Pollinator (8) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (16) πŸ‘₯ Mega-Team (21) 🧬 Topic Evolution πŸ”₯ Unstoppable (8) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (68) πŸ’Ž Century Club (21) πŸ“ˆ Trend Setter

Conferences

ICLR (7) CORL (4) ICML (4) RSS (2) IJCAI (1) JMLR (1) L4DC (1) NIPS (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)

Keywords

policy optimization (3) reinforcement learning (3) robot manipulation (3) deep reinforcement learning (2) policy search (2) transfer learning (2) model-free reinforcement learning (2) stochastic search (2) trajectory optimization (2) offline reinforcement learning (2) multi-task learning (2) optimal control (1) hierarchical reinforcement learning (1) compositional learning (1) distributional reinforcement learning (1) relative entropy (1) policy learning (1) model-based reinforcement learning (1) constraint satisfaction (1) continuous control (1)

Papers

Learning from negative feedback, or positive feedback or both ICLR 2025
Real-world fluid directed rigid body control via deep reinforcement learning L4DC 2024
Offline Actor-Critic Reinforcement Learning Scales to Large Models ICML 2024
Evaluating Model-Based Planning and Planner Amortization for Continuous Control ICLR 2022
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes CORL 2021
Data-efficient Hindsight Off-policy Option Learning ICML 2021
A Constrained Multi-Objective Reinforcement Learning Framework CORL 2021
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
A distributional view on multi-objective policy optimization ICML 2020
Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models CORL 2019
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics 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 NIPS 2015