Jan Humplik | DeepAI

AI Chat

Featured Co-authors

Peng Xu
128 publications
Yee Whye Teh
122 publications
Nicolas Heess
104 publications
Dorsa Sadigh
102 publications
Wenhao Yu
66 publications
Fei Xia
53 publications
Martin Riedmiller
52 publications
Jie Tan
50 publications
Raia Hadsell
41 publications
Andy Zeng
40 publications
Markus Wulfmeier
33 publications

∙ 06/14/2023

Language to Rewards for Robotic Skill Synthesis

Large language models (LLMs) have demonstrated exciting progress in acqu...

0 Wenhao Yu, et al. ∙

∙ 04/26/2023

Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning

We investigate whether Deep Reinforcement Learning (Deep RL) is able to ...

0 Tuomas Haarnoja, et al. ∙

∙ 11/24/2022

SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration

The ability to effectively reuse prior knowledge is a key requirement wh...

0 Giulia Vezzani, et al. ∙

∙ 10/10/2022

NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields

We present a system for applying sim2real approaches to "in the wild" sc...

0 Arunkumar Byravan, et al. ∙

∙ 04/12/2022

Offline Distillation for Robot Lifelong Learning with Imbalanced Experience

Robots will experience non-stationary environment dynamics throughout th...

0 Wenxuan Zhou, et al. ∙

∙ 03/31/2022

Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors

We investigate the use of prior knowledge of human and animal movement t...

0 Steven Bohez, et al. ∙

∙ 09/10/2020

Importance Weighted Policy Learning and Adaption

The ability to exploit prior experience to solve novel problems rapidly ...

6 Alexandre Galashov, et al. ∙

∙ 05/15/2019

Meta reinforcement learning as task inference

Humans achieve efficient learning by relying on prior knowledge about th...

5 Jan Humplik, et al. ∙

∙ 05/24/2016

Semiparametric energy-based probabilistic models

Probabilistic models can be defined by an energy function, where the pro...

0 Jan Humplik, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world