Dynamics Generalization via Information Bottleneck in Deep Reinforcement
Learning

Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning

3 August 2020

Pieter Abbeel

Papers citing "Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning"

8 / 8 papers shown

Title
Generalization Capability for Imitation Learning Yixiao Wang 160 0 0 25 Apr 2025
TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning Batıkan Bora Ormancı Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 76 0 0 28 Jan 2025
Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization Daniel Jarne Ornia Giannis Delimpaltadakis Jens Kober Javier Alonso-Mora 23 1 0 30 Nov 2023
Improving generalization in reinforcement learning through forked agents Olivier Moulin Vincent François-Lavet Mark Hoogendoorn AI4CE 28 0 0 13 Dec 2022
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations Yilun Hao Ruinan Wang Zhangjie Cao Zihan Wang Yuchen Cui Dorsa Sadigh 29 2 0 16 Sep 2022
Robust Control Under Uncertainty via Bounded Rationality and Differential Privacy Vincent Pacelli Anirudha Majumdar 37 9 0 17 Sep 2021
Robust Predictable Control Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 29 44 0 07 Sep 2021
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability Dibya Ghosh Jad Rahme Aviral Kumar Amy Zhang Ryan P. Adams Sergey Levine OffRL 278 109 0 13 Jul 2021