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Leonard Hasenclever — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Leonard Hasenclever
21
papers ·
319
citations ·
18
h-index
Google (United Kingdom)
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Semantic Scholar ↗
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Most-cited papers
Meta reinforcement learning as task inference
2019 · 63 citations
Mix&Match - Agent Curricula for Reinforcement Learning
2018 · 29 citations
A Distributional View on Multi-Objective Policy Optimization
2020 · 23 citations
Exploiting Hierarchy for Learning and Transfer in KL-regularized RL
2019 · 20 citations
Behavior Priors for Efficient Reinforcement Learning
2020 · 14 citations
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
2020 · 9 citations
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
2023 · 6 citations
Learning Dynamics Models for Model Predictive Agents
2021 · 4 citations
Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
2024 · 2 citations
Importance Weighted Policy Learning and Adaptation
2020 · 1 citations
Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains
2023 · 1 citations
Replay across Experiments: A Natural Extension of Off-Policy RL
2023 · 1 citations
Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning
2024 · 1 citations
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner
2021
Top co-authors
Nicolas Heess
· 13
Arunkumar Byravan
· 5
Dhruva Tirumala
· 5
Jan Humplik
· 5
Yee Whye Teh
· 5
Alexandre Galashov
· 4
Martin Riedmiller
· 4
Guy Lever
· 3
Markus Wulfmeier
· 3
Razvan Pascanu
· 3
Sandy H. Huang
· 3
Tuomas Haarnoja
· 3
Topics
Model-Based RL
Meta-RL
Exploration
Multi-Agent
Policy Gradient
Game AI
Offline RL
Value-Based
Safe RL