Bingham Policy Parameterization for 3D Rotations in Reinforcement
Learning

Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning

8 February 2022

Pieter Abbeel

Papers citing "Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning"

8 / 8 papers shown

Title
Reinforcement Learning in Hyperbolic Spaces: Models and Experiments V. Jaćimović Zinaid Kapić Aladin Crnkić 32 0 0 12 Oct 2024
Redundancy-aware Action Spaces for Robot Learning Pietro Mazzaglia Nicholas Backshall Xiao Ma Stephen James 34 2 0 06 Jun 2024
Non-parametric regression for robot learning on manifolds P. C. López-Custodio K. Bharath A. Kucukyilmaz S. P. Preston 25 1 0 30 Oct 2023
Geometric Reinforcement Learning For Robotic Manipulation Naseem Alhousani Matteo Saveriano Ibrahim Sevinc Talha Abdulkuddus Hatice Kose Fares J. Abu-Dakka 38 6 0 14 Oct 2022
Coarse-to-fine Q-attention with Tree Expansion Stephen James Pieter Abbeel 18 11 0 26 Apr 2022
Coarse-to-Fine Q-attention with Learned Path Ranking Stephen James Pieter Abbeel 29 15 0 04 Apr 2022
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation Stephen James Kentaro Wada Tristan Laidlow Andrew J. Davison 30 124 0 23 Jun 2021
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016