Understanding the World Through Action

24 October 2021

Papers citing "Understanding the World Through Action"

10 / 10 papers shown

Title
Probabilistic Constrained Reinforcement Learning with Formal Interpretability Yanran Wang Qiuchen Qian David E. Boyle 16 4 0 13 Jul 2023
Roots and Requirements for Collaborative AIs M. Stefik 19 0 0 21 Mar 2023
When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong OffRL 34 13 0 15 Feb 2023
Contextual Transformer for Offline Meta Reinforcement Learning Runji Lin Ye Li Xidong Feng Zhaowei Zhang Xian Hong Wu Fung Haifeng Zhang Jun Wang Yali Du Yaodong Yang OffRL 18 6 0 15 Nov 2022
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks Litian Liang Yaosheng Xu Stephen Marcus McAleer Dailin Hu Alexander Ihler Pieter Abbeel Roy Fox OOD 19 16 0 16 Sep 2022
Robots Enact Malignant Stereotypes Andrew Hundt William Agnew V. Zeng Severin Kacianka Matthew C. Gombolay LM&Ro 35 41 0 23 Jul 2022
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning Yunfei Li Tian Gao Jiaqi Yang Huazhe Xu Yi Wu OffRL 19 22 0 24 Jun 2022
Model-Based Visual Planning with Self-Supervised Functional Distances Stephen Tian Suraj Nair F. Ebert Sudeep Dasari Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 168 58 0 30 Dec 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017