Simulating Discrete and Rhythmic Multi-joint Human Arm Movements by Optimization of Nonlinear Performance Indices. - Armin Biess; Mark L. Nagurka; Tamar Flash (Biol. Cybern., 2006)

Barriers to Diffusion in Dendrites and Estimation of Calcium Spread Following Synaptic Inputs. - Armin Biess; Eduard Korkotian; David Holcman (PLoS Comput. Biol., 2011)

Learning a High-Precision Robotic Assembly Task Using Pose Estimation from Simulated Depth Images. - Yuval Litvak; Armin Biess; Aharon Bar-Hillel (CoRR, 2018)

Learning Pose Estimation for High-Precision Robotic Assembly Using Simulated Depth Images. - Yuval Litvak; Armin Biess; Aharon Bar-Hillel (ICRA, 2019)

Regression via Kirszbraun Extension with Applications to Imitation Learning. - Armin Biess; Aryeh Kontorovich; Yury Makarychev; Hanan Zaichyk (CoRR, 2019)

Metric-Based Imitation Learning Between Two Dissimilar Anthropomorphic Robotic Arms. - Marcus Ebner von Eschenbach; Binyamin Manela; Jan Peters 001; Armin Biess (CoRR, 2020)

Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving Cars. - Ran Emuna; Avinoam Borowsky; Armin Biess (CoRR, 2020)

Bias-reduced hindsight experience replay with virtual goal prioritization. - Binyamin Manela; Armin Biess (Neurocomputing, 2021)

Evaluating Guided Policy Search for Human-Robot Handovers. - Alap Kshirsagar; Guy Hoffman; Armin Biess (IEEE Robotics Autom. Lett., 2021)

Curriculum learning with Hindsight Experience Replay for sequential object manipulation tasks. - Binyamin Manela; Armin Biess (Neural Networks, 2022)

Accelerating Motion Planning via Optimal Transport. - An T. Le 001; Georgia Chalvatzaki; Armin Biess; Jan Peters 001 (NeurIPS, 2023)

Example-guided learning of stochastic human driving policies using deep reinforcement learning. - Ran Emuna; Rotem Duffney; Avinoam Borowsky; Armin Biess (Neural Comput. Appl., 2023)

Global Tensor Motion Planning. - An T. Le 001; Kay Hansel; João Carvalho; Joe Watson; Julen Urain; Armin Biess; Georgia Chalvatzaki; Jan Peters 001 (CoRR, 2024)

Efficient Kirszbraun extension with applications to regression. - Hananel Zaichyk; Armin Biess; Aryeh Kontorovich; Yury Makarychev (Math. Program., 2024)

Correction: Efficient Kirszbraun extension with applications to regression. - Hananel Zaichyk; Armin Biess; Aryeh Kontorovich; Yury Makarychev (Math. Program., 2024)

Global Tensor Motion Planning. - An T. Le 001; Kay Pompetzki; João Carvalho; Joe Watson; Julen Urain; Armin Biess; Georgia Chalvatzaki; Jan Peters 001 (IEEE Robotics Autom. Lett., 2025)