Dieter Büchler
11 papers · 2020–2024 · 5 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (5) 🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5)
🌉
Interdisciplinary Bridge
🔥
Unstoppable
(5)
💎
Century Club
(11)
Conferences
CORL (3)
ICLR (3)
RSS (3)
L4DC (1)
NIPS (1)
Top co-authors
Keywords
reinforcement learning
(3)
neural network
(2)
sample efficiency
(1)
trajectory prediction
(1)
hierarchical reinforcement learning
(1)
inverse dynamics
(1)
off-policy learning
(1)
trajectory tracking
(1)
extended kalman filter
(1)
temporal abstraction
(1)
probabilistic model
(1)
data efficiency
(1)
dynamic motion
(1)
latent state
(1)
sample-efficient learning
(1)
uncertainty estimate
(1)
iterative learning control
(1)
feedforward control
(1)
subgoal planning
(1)
tendon-driven robot
(1)
Papers
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands
CORL 2024
Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion
RSS 2024
Identifying Policy Gradient Subspaces
ICLR 2024
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
ICLR 2023
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts
L4DC 2023
Hindsight States: Blending Sim & Real Task Elements for Efficient Reinforcement Learning
RSS 2023
Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks
CORL 2022
A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles
RSS 2022
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios
ICLR 2022
Hierarchical Reinforcement Learning with Timed Subgoals
NIPS 2021
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning
CORL 2020