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
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning Zengxia Guo Bohui An Zhongqi Lu FedML 26 0 0 15 May 2025
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning Samuel Garcin Trevor A. McInroe Pablo Samuel Castro Prakash Panangaden Christopher G. Lucas David Abel Stefano V. Albrecht 58 0 0 08 Mar 2025
Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement Learning Negin Hashemi Dijujin Seyed Roozbeh Razavi Rohani Mohammad Samiei M. Baghshah 65 0 0 28 Jan 2025
Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents Wonje Choi Woo Kyung Kim SeungHyun Kim Honguk Woo 97 10 0 16 Dec 2024
Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust Asher Hancock Allen Z. Ren Anirudha Majumdar VLM 46 2 0 02 Oct 2024
Focus On What Matters: Separated Models For Visual-Based RL Generalization Di Zhang Bowen Lv Hai Zhang Feifan Yang Junqiao Zhao Hang Yu Chang Huang Hongtu Zhou Chen Ye Changjun Jiang 40 3 0 29 Sep 2024
Exploring Semantic Clustering in Deep Reinforcement Learning for Video Games Liang Zhang Justin Lieffers A. Pyarelal 34 0 0 25 Sep 2024
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning Alihan Hüyük A. R. Koblitz Atefeh Mohajeri M. Andrews OffRL 45 0 0 19 Sep 2024
SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement Learning Matthias Weissenbacher Rishabh Agarwal Yoshinobu Kawahara OffRL 36 1 0 21 Jun 2024
Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement Learning Xuehui Yu Mhairi Dunion Xin Li Stefano V. Albrecht 49 2 0 07 Jun 2024
Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently Sergio Calo Anders Jonsson Gergely Neu Ludovic Schwartz Javier Segovia OT 45 1 0 06 Jun 2024
Intrinsic Dynamics-Driven Generalizable Scene Representations for Vision-Oriented Decision-Making Applications Dayang Liang Jinyang Lai Yunlong Liu 35 0 0 30 May 2024
State-Constrained Offline Reinforcement Learning Charles A. Hepburn Yue Jin Giovanni Montana OffRL 49 0 0 23 May 2024
Multi-view Disentanglement for Reinforcement Learning with Multiple Cameras Mhairi Dunion Stefano V. Albrecht 48 4 0 22 Apr 2024
Learning Action-based Representations Using Invariance Max Rudolph Caleb Chuck Kevin Black Misha Lvovsky S. Niekum Amy Zhang 55 0 0 25 Mar 2024
Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning Giorgio Franceschelli Mirco Musolesi AI4CE 51 0 0 12 Mar 2024
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning Yixiang Shan Zhengbang Zhu Ting Long Qifan Liang Yi-Ju Chang Weinan Zhang Liang Yin OffRL 47 1 0 05 Feb 2024
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence Jiafei Lyu Le Wan Xiu Li Zongqing Lu CML OffRL 43 4 0 05 Feb 2024
A Survey Analyzing Generalization in Deep Reinforcement Learning Ezgi Korkmaz OffRL 32 2 0 04 Jan 2024
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning Bram Grooten Tristan Tomilin Gautham Vasan Matthew E. Taylor A. R. Mahmood Meng Fang Mykola Pechenizkiy Decebal Constantin Mocanu 37 8 0 23 Dec 2023
The Generalization Gap in Offline Reinforcement Learning Ishita Mediratta Qingfei You Minqi Jiang Roberta Raileanu OffRL 97 10 0 10 Dec 2023
Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning Sergio A. Serrano J. Martínez-Carranza L. Sucar 35 2 0 05 Dec 2023
An advantage based policy transfer algorithm for reinforcement learning with metrics of transferability M. Alam Parinaz Naghizadeh Ardabili David Hoelzle OffRL 16 0 0 12 Nov 2023
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching Kai Yan Alex Schwing Yu-xiong Wang OffRL 29 0 0 02 Nov 2023
State-Action Similarity-Based Representations for Off-Policy Evaluation Brahma S. Pavse Josiah P. Hanna OffRL 43 4 0 27 Oct 2023
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning Hongyu Zang Xin-hui Li Leiji Zhang Yang Liu Baigui Sun Riashat Islam Rémi Tachet des Combes Romain Laroche OffRL 52 5 0 26 Oct 2023
Why LLMs Hallucinate, and How to Get (Evidential) Closure: Perceptual, Intensional, and Extensional Learning for Faithful Natural Language Generation Adam Bouyamourn 110 15 0 23 Oct 2023
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis 51 1 0 16 Oct 2023
Learning Generalizable Agents via Saliency-Guided Features Decorrelation Sili Huang Yanchao Sun Jifeng Hu Siyuan Guo Hechang Chen Yi-Ju Chang Lichao Sun Bo Yang 31 5 0 08 Oct 2023
Amortized Network Intervention to Steer the Excitatory Point Processes Zitao Song Wendi Ren Sourav Garg 34 1 0 06 Oct 2023
A Kernel Perspective on Behavioural Metrics for Markov Decision Processes Pablo Samuel Castro Tyler Kastner Prakash Panangaden Mark Rowland 46 4 0 05 Oct 2023
Sequential Action-Induced Invariant Representation for Reinforcement Learning Dayang Liang Qihang Chen Yunlong Liu 36 4 0 22 Sep 2023
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue 31 4 0 29 Aug 2023
Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent Ensembles Nicole Merkle Ralf Mikut 48 2 0 28 Aug 2023
Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning Jingqing Ruan Xiaotian Hao D. Li Hangyu Mao 35 5 0 28 Jul 2023
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning Guy Azran Mohamad H. Danesh Stefano V. Albrecht Sarah Keren AI4CE 45 1 0 11 Jul 2023
Provably Convergent Policy Optimization via Metric-aware Trust Region Methods Jun Song Niao He Lijun Ding Chaoyue Zhao 41 3 0 25 Jun 2023
VIBR: Learning View-Invariant Value Functions for Robust Visual Control Tom Dupuis Jaonary Rabarisoa Q. C. Pham David Filliat 49 0 0 14 Jun 2023
On the Importance of Exploration for Generalization in Reinforcement Learning Yiding Jiang J. Zico Kolter Roberta Raileanu UQCV OffRL 36 20 0 08 Jun 2023
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL Peng Cheng Xianyuan Zhan Zhihao Wu Wenjia Zhang Shoucheng Song Han Wang Youfang Lin Li Jiang OffRL 50 10 0 07 Jun 2023
Learning Embeddings for Sequential Tasks Using Population of Agents Mridul Mahajan Georgios Tzannetos Goran Radanović Adish Singla FedML 28 0 0 05 Jun 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency Max Schwarzer J. Obando-Ceron Rameswar Panda Marc G. Bellemare Rishabh Agarwal Pablo Samuel Castro OffRL 54 85 0 30 May 2023
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning Mhairi Dunion Trevor A. McInroe K. Luck Josiah P. Hanna Stefano V. Albrecht OOD DRL 24 17 0 23 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao David Meger Doina Precup 38 2 0 09 May 2023
Adversarial Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue AAML 29 0 0 27 Apr 2023
CROP: Towards Distributional-Shift Robust Reinforcement Learning using Compact Reshaped Observation Processing Philipp Altmann Fabian Ritz Leonard Feuchtinger Jonas Nusslein Claudia Linnhoff-Popien Thomy Phan OOD OffRL 29 5 0 26 Apr 2023
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks Jesse Farebrother Joshua Greaves Rishabh Agarwal Charline Le Lan Ross Goroshin Pablo Samuel Castro Marc G. Bellemare 54 25 0 25 Apr 2023
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards Shanchuan Wan Yujin Tang Yingtao Tian Tomoyuki Kaneko OffRL 22 4 0 21 Apr 2023
Conceptual Reinforcement Learning for Language-Conditioned Tasks Shaohui Peng Xingui Hu Rui Zhang Jiaming Guo Qi Yi Rui Chen Zidong Du Ling Li Qi Guo Yunji Chen OffRL 46 8 0 09 Mar 2023
Foundation Models for Decision Making: Problems, Methods, and Opportunities Sherry Yang Ofir Nachum Yilun Du Jason W. Wei Pieter Abbeel Dale Schuurmans LM&Ro OffRL LRM AI4CE 98 156 0 07 Mar 2023