What can I do here? A Theory of Affordances in Reinforcement Learning

What can I do here? A Theory of Affordances in Reinforcement Learning

26 June 2020

Khimya Khetarpal

Gheorghe Comanici

Papers citing "What can I do here? A Theory of Affordances in Reinforcement Learning"

18 / 18 papers shown

Title
Cracking the Code of Action: a Generative Approach to Affordances for Reinforcement Learning Lynn Cherif Flemming Kondrup David Venuto Ankit Anand Doina Precup Khimya Khetarpal LM&Ro 54 0 0 24 Apr 2025
Safety through Permissibility: Shield Construction for Fast and Safe Reinforcement Learning A. Politowicz Sahisnu Mazumder Bing-Quan Liu 31 0 0 29 May 2024
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning Liyiming Ke Yunchu Zhang Abhay Deshpande S. Srinivasa Abhishek Gupta OffRL 27 12 0 19 Oct 2023
Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective Xintong Yang Ze Ji Jing Wu Yunyu Lai 46 12 0 09 Mar 2023
A Rubric for Human-like Agents and NeuroAI Ida Momennejad 60 14 0 08 Dec 2022
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning Riashat Islam Hongyu Zang Anirudh Goyal Alex Lamb Kenji Kawaguchi Xin-hui Li Romain Laroche Yoshua Bengio Rémi Tachet des Combes OffRL AI4CE 28 9 0 01 Nov 2022
Affordance Extraction with an External Knowledge Database for Text-Based Simulated Environments P. Gelhausen M. Fischer G. Peters 36 1 0 01 Jul 2022
Goal-Space Planning with Subgoal Models Chun-Ping Lo Kevin Roice Parham Mohammad Panahi Scott M. Jordan Adam White Gábor Mihucz Farzane Aminmansour Martha White 29 5 0 06 Jun 2022
Possibility Before Utility: Learning And Using Hierarchical Affordances Robby Costales Shariq Iqbal Fei Sha 31 5 0 23 Mar 2022
Bayesian deep learning of affordances from RGB images Lorenzo Mur-Labadia Ruben Martinez-Cantin UQCV BDL 16 0 0 27 Sep 2021
Temporally Abstract Partial Models Khimya Khetarpal Zafarali Ahmed Gheorghe Comanici Doina Precup 26 14 0 06 Aug 2021
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods Nicholay Topin Stephanie Milani Fei Fang Manuela Veloso OffRL 29 32 0 25 Feb 2021
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving Sirui Xie Xiaojian Ma Peiyu Yu Yixin Zhu Ying Nian Wu Song-Chun Zhu 42 20 0 22 Feb 2021
Relative Variational Intrinsic Control Kate Baumli David Warde-Farley Steven Hansen Volodymyr Mnih 26 42 0 14 Dec 2020
Deep Affordance Foresight: Planning Through What Can Be Done in the Future Danfei Xu Ajay Mandlekar Roberto Martín-Martín Yuke Zhu Silvio Savarese Li Fei-Fei 33 71 0 17 Nov 2020
Affordance as general value function: A computational model D. Graves Johannes Günther Jun Luo AI4CE 21 6 0 27 Oct 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning Tianren Zhang Shangqi Guo Tian Tan Xiaolin Hu Feng Chen 30 82 0 20 Jun 2020
FAME: 3D Shape Generation via Functionality-Aware Model Evolution Yanran Guan Han Liu Kun Liu K. Yin Ruizhen Hu ... Yan Zhang Ersin Yumer N. Carr R. Měch Hao Zhang 20 16 0 09 May 2020