Invariant Policy Optimization: Towards Stronger Generalization in
Reinforcement Learning

Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning

1 June 2020

Anoopkumar Sonar

Vincent Pacelli

Anirudha Majumdar

Papers citing "Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning"

15 / 15 papers shown

Title
Evolution and The Knightian Blindspot of Machine Learning Joel Lehman Elliot Meyerson Tarek El-Gaaly Kenneth O. Stanley Tarin Ziyaee 88 2 0 22 Jan 2025
Adaptive Data Exploitation in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 210 0 0 22 Jan 2025
Systems with Switching Causal Relations: A Meta-Causal Perspective Moritz Willig Tim Nelson Tobiasch Florian Peter Busch Jonas Seng Devendra Singh Dhami Kristian Kersting CML 46 0 0 16 Oct 2024
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning Alihan Hüyük A. R. Koblitz Atefeh Mohajeri M. Andrews OffRL 40 0 0 19 Sep 2024
Learning Causally Invariant Reward Functions from Diverse Demonstrations Ivan Ovinnikov Eugene Bykovets J. M. Buhmann CML 40 0 0 12 Sep 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 67 0 0 01 Jul 2024
VIBR: Learning View-Invariant Value Functions for Robust Visual Control Tom Dupuis Jaonary Rabarisoa Q. C. Pham David Filliat 39 0 0 14 Jun 2023
Improving generalization in reinforcement learning through forked agents Olivier Moulin Vincent François-Lavet Mark Hoogendoorn AI4CE 28 0 0 13 Dec 2022
An Overview of Violence Detection Techniques: Current Challenges and Future Directions N. Mumtaz N. Ejaz Shabana Habib Syed Muhammad Mohsin Prayag Tiwari Shahab S. Band Neeraj Kumar 39 28 0 21 Sep 2022
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions Rui Yang Jie Wang Zijie Geng Mingxuan Ye Shuiwang Ji Bin Li Fengli Wu OOD 31 20 0 20 May 2022
Active Reinforcement Learning over MDPs Qi Yang Peng Yang K. Tang 41 0 0 05 Aug 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 54 1,177 0 02 Mar 2021
Task-relevant Representation Learning for Networked Robotic Perception Manabu Nakanoya Sandeep P. Chinchali Alexandros Anemogiannis Akul Datta Sachin Katti Marco Pavone 29 5 0 06 Nov 2020
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning Roberta Raileanu M. Goldstein Denis Yarats Ilya Kostrikov Rob Fergus OffRL 22 109 0 23 Jun 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020