Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning

13 January 2021

Papers citing "Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning"

50 / 108 papers shown

Title
Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution Jie Wang Rui Yang Zijie Geng Zhihao Shi Mingxuan Ye Qi Zhou Shuiwang Ji Bin Li Yongdong Zhang Feng Wu 42 4 0 19 Feb 2023
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions Qiyuan Liu Qi Zhou Rui Yang Jie Wang OffRL OOD 27 14 0 12 Feb 2023
Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning Haoxuan Pan Deheng Ye Xiaoming Duan Qiang Fu Wei Yang Jianping He Mingfei Sun OffRL 25 2 0 20 Jan 2023
Generalization through Diversity: Improving Unsupervised Environment Design Wenjun Li Pradeep Varakantham Dexun Li 33 7 0 19 Jan 2023
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities Jianda Chen Sinno Jialin Pan SSL 29 6 0 26 Dec 2022
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning Zhecheng Yuan Zhengrong Xue Bo Yuan Xueqian Wang Yi Wu Yang Gao Huazhe Xu SSL OffRL 48 71 0 17 Dec 2022
Switching Attention in Time-Varying Environments via Bayesian Inference of Abstractions Meghan Booker Anirudha Majumdar 8 2 0 10 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey Zhihui Xie Zichuan Lin Junyou Li Shuai Li Deheng Ye OffRL OnRL AI4CE 26 23 0 08 Nov 2022
Contrastive Value Learning: Implicit Models for Simple Offline RL Bogdan Mazoure Benjamin Eysenbach Ofir Nachum Jonathan Tompson SSL OffRL 45 8 0 03 Nov 2022
Reachability-Aware Laplacian Representation in Reinforcement Learning Kaixin Wang Kuangqi Zhou Jiashi Feng Bryan Hooi Xinchao Wang 36 2 0 24 Oct 2022
Rethinking Value Function Learning for Generalization in Reinforcement Learning Seungyong Moon JunYeong Lee Hyun Oh Song OOD OffRL 24 16 0 18 Oct 2022
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL Chen Sun Wannan Yang Thomas Jiralerspong Dane Malenfant Benjamin Alsbury-Nealy Yoshua Bengio Blake A. Richards OffRL 22 2 0 12 Oct 2022
Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning Manuel Goulão Arlindo L. Oliveira ViT 50 6 0 22 Sep 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 44 28 0 21 Sep 2022
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning David Bertoin Adil Zouitine Mehdi Zouitine Emmanuel Rachelson 40 30 0 16 Sep 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient S. Rezaei-Shoshtari Rosie Zhao Prakash Panangaden David Meger Doina Precup 35 18 0 15 Sep 2022
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization Xingyou Song Sagi Perel Chansoo Lee Greg Kochanski Daniel Golovin 33 26 0 27 Jul 2022
Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks Yijie Guo Qiucheng Wu Honglak Lee OffRL 27 5 0 19 Jul 2022
Bootstrap State Representation using Style Transfer for Better Generalization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue OffRL 34 4 0 15 Jul 2022
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning Mhairi Dunion Trevor A. McInroe K. Luck Josiah P. Hanna Stefano V. Albrecht OOD DRL 28 18 0 12 Jul 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? Xiang Li Jinghuan Shang Srijan Das Michael S. Ryoo SSL 40 31 0 10 Jun 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 36 20 0 20 May 2022
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning Philippe Hansen-Estruch Amy Zhang Ashvin Nair Patrick Yin Sergey Levine AI4CE 35 28 0 27 Apr 2022
Investigating the Properties of Neural Network Representations in Reinforcement Learning Han Wang Erfan Miahi Martha White Marlos C. Machado Zaheer Abbas Raksha Kumaraswamy Vincent Liu Adam White 25 26 0 30 Mar 2022
The Sandbox Environment for Generalizable Agent Research (SEGAR) R. Devon Hjelm Bogdan Mazoure Florian Golemo Felipe Vieira Frujeri Mihai Jalobeanu Andrey Kolobov LLMAG LRM 24 1 0 19 Mar 2022
Evolving Curricula with Regret-Based Environment Design Jack Parker-Holder Minqi Jiang Michael Dennis Mikayel Samvelyan Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 31 118 0 02 Mar 2022
What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks? Hangwei Qian Tian Tian Chunyan Miao SSL 41 50 0 12 Feb 2022
Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation Martín Bertrán Walter A. Talbott Nitish Srivastava J. Susskind 50 3 0 28 Jan 2022
Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models Nitish Srivastava Walter A. Talbott Martin Bertran Lopez Shuangfei Zhai J. Susskind 43 4 0 02 Dec 2021
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions Bogdan Mazoure Ilya Kostrikov Ofir Nachum Jonathan Tompson OffRL 51 21 0 29 Nov 2021
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning Robert Kirk Amy Zhang Edward Grefenstette Tim Rocktaschel OffRL 22 159 0 18 Nov 2021
Learning Provably Robust Motion Planners Using Funnel Libraries Alim Gurgen Anirudha Majumdar Sushant Veer OOD 27 2 0 16 Nov 2021
Learning Representations for Pixel-based Control: What Matters and Why? Manan Tomar Utkarsh Aashu Mishra Amy Zhang Matthew E. Taylor SSL OffRL 36 24 0 15 Nov 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 37 41 0 04 Nov 2021
Towards an Understanding of Default Policies in Multitask Policy Optimization Theodore H. Moskovitz Michael Arbel Jack Parker-Holder Aldo Pacchiano 30 9 0 04 Nov 2021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations Fei Deng Ingook Jang Sungjin Ahn VLM 29 62 0 27 Oct 2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs Beining Han Chongyi Zheng Harris Chan Keiran Paster Michael Ruogu Zhang Jimmy Ba OOD AI4CE 20 13 0 27 Oct 2021
Towards Robust Bisimulation Metric Learning Mete Kemertas Tristan Aumentado-Armstrong OffRL 24 44 0 27 Oct 2021
Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning Trevor A. McInroe Lukas Schafer Stefano V. Albrecht OffRL 31 8 0 11 Oct 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 283 109 0 13 Jul 2021
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing Kaixin Wang Kuangqi Zhou Qixin Zhang Jie Shao Bryan Hooi Jiashi Feng 52 20 0 12 Jul 2021
CoBERL: Contrastive BERT for Reinforcement Learning Andrea Banino Adria Puidomenech Badia Jacob Walker Tim Scholtes Jovana Mitrović Charles Blundell OffRL 32 36 0 12 Jul 2021
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning Erdun Gao Fan Feng Chaochao Lu Sara Magliacane Kun Zhang 44 66 0 06 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 44 135 0 01 Jul 2021
Learning Task Informed Abstractions Xiang Fu Ge Yang Pulkit Agrawal Tommi Jaakkola 34 65 0 29 Jun 2021
Proper Value Equivalence Christopher Grimm André Barreto Gregory Farquhar David Silver Satinder Singh OffRL 29 33 0 18 Jun 2021
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL Bogdan Mazoure Ahmed M. Ahmed Patrick MacAlpine R. Devon Hjelm Andrey Kolobov 35 27 0 04 Jun 2021
MICo: Improved representations via sampling-based state similarity for Markov decision processes Pablo Samuel Castro Tyler Kastner Prakash Panangaden Mark Rowland 48 35 0 03 Jun 2021
Towards Deeper Deep Reinforcement Learning with Spectral Normalization Johan Bjorck Carla P. Gomes Kilian Q. Weinberger 19 23 0 02 Jun 2021
Provable Representation Learning for Imitation with Contrastive Fourier Features Ofir Nachum Mengjiao Yang SSL OffRL 30 39 0 26 May 2021