Leonard Hasenclever
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
7
Active years
2017–2024
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CoRL | Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning. | Dhruva Tirumala, Markus Wulfmeier, Ben Moran, Sandy H. Huang, Jan Humplik, Guy Lever, Tuomas Haarnoja, Leonard Hasenclever, Arunkumar Byravan, Nathan Batchelor, Neil Sreendra, Kushal Patel, Marlon Gwira, Francesco Nori, Martin A. Riedmiller, Nicolas Heess |
| 2024 | ICLR | Replay across Experiments: A Natural Extension of Off-Policy RL. | Dhruva Tirumala, Thomas Lampe, Jos Enrique Chen, Tuomas Haarnoja, Sandy H. Huang, Guy Lever, Ben Moran, Tim Hertweck, Leonard Hasenclever, Martin A. Riedmiller, Nicolas Heess, Markus Wulfmeier |
| 2023 | CoRL | Language to Rewards for Robotic Skill Synthesis. | Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montserrat Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, Brian Ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia |
| 2023 | ICRA | NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields. | Arunkumar Byravan, Jan Humplik, Leonard Hasenclever, Arthur Brussee, Francesco Nori, Tuomas Haarnoja, Ben Moran, Steven Bohez, Fereshteh Sadeghi, Bojan Vujatovic, Nicolas Heess |
| 2022 | ICLR | Evaluating Model-Based Planning and Planner Amortization for Continuous Control. | Arunkumar Byravan, Leonard Hasenclever, Piotr Trochim, Mehdi Mirza, Alessandro Davide Ialongo, Yuval Tassa, Jost Tobias Springenberg, Abbas Abdolmaleki, Nicolas Heess, Josh Merel, Martin A. Riedmiller |
| 2022 | ICLR | Learning transferable motor skills with hierarchical latent mixture policies. | Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell |
| 2022 | IROS | Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner. | Philmon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis |
| 2020 | ICML | A distributional view on multi-objective policy optimization. | Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever, Michael Neunert, H. Francis Song, Martina Zambelli, Murilo F. Martins, Nicolas Heess, Raia Hadsell, Martin A. Riedmiller |
| 2020 | ICML | CoMic: Complementary Task Learning & Mimicry for Reusable Skills. | Leonard Hasenclever, Fabio Pardo, Raia Hadsell, Nicolas Heess, Josh Merel |
| 2019 | ICLR | Information asymmetry in KL-regularized RL. | Alexandre Galashov, Siddhant M. Jayakumar, Leonard Hasenclever, Dhruva Tirumala, Jonathan Schwarz, Guillaume Desjardins, Wojciech M. Czarnecki, Yee Whye Teh, Razvan Pascanu, Nicolas Heess |
| 2019 | ICLR | Neural Probabilistic Motor Primitives for Humanoid Control. | Josh Merel, Leonard Hasenclever, Alexandre Galashov, Arun Ahuja, Vu Pham, Greg Wayne, Yee Whye Teh, Nicolas Heess |
| 2018 | ICML | Mix & Match Agent Curricula for Reinforcement Learning. | Wojciech Marian Czarnecki, Siddhant M. Jayakumar, Max Jaderberg, Leonard Hasenclever, Yee Whye Teh, Nicolas Heess, Simon Osindero, Razvan Pascanu |
| 2018 | UAI | Sylvester Normalizing Flows for Variational Inference. | Rianne van den Berg, Leonard Hasenclever, Jakub M. Tomczak, Max Welling |
| 2017 | AISTATS | Relativistic Monte Carlo. | Xiaoyu Lu, Valerio Perrone, Leonard Hasenclever, Yee Whye Teh, Sebastian J. Vollmer |