DARLA: Improving Zero-Shot Transfer in Reinforcement Learning

26 July 2017

Christopher P. Burgess

Alexander Pritzel

Papers citing "DARLA: Improving Zero-Shot Transfer in Reinforcement Learning"

50 / 247 papers shown

Title
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning Q. Wang Zhe Zhang Baao Xie Xin Jin Yixuan Wang Shiyu Wang Liaomo Zheng Xiaokang Yang Wenjun Zeng OffRL 63 0 0 11 Mar 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 56 0 0 08 Mar 2025
On Generalization Across Environments In Multi-Objective Reinforcement Learning Jayden Teoh Pradeep Varakantham Peter Vamplew OffRL 34 0 0 02 Mar 2025
Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning Bryan L. M. de Oliveira Murilo L. da Luz Bruno Brandão Luana G. B. Martins Telma W. de L. Soares L. Melo OffRL 70 1 0 17 Feb 2025
Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Lucía Güitta-López Jaime Boal Álvaro J. López-López 48 5 0 24 Jan 2025
Evolution and The Knightian Blindspot of Machine Learning Joel Lehman Elliot Meyerson Tarek El-Gaaly Kenneth O. Stanley Tarin Ziyaee 86 1 0 22 Jan 2025
AMM: Adaptive Modularized Reinforcement Model for Multi-city Traffic Signal Control Zherui Huang Yicheng Liu Chumeng Liang Guanjie Zheng 33 0 0 07 Jan 2025
Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents Wonje Choi Woo Kyung Kim SeungHyun Kim Honguk Woo 85 8 0 16 Dec 2024
State Chrono Representation for Enhancing Generalization in Reinforcement Learning Jianda Chen Wen Zheng Terence Ng Zichen Chen Sinno Jialin Pan Tianwei Zhang OffRL 35 0 0 09 Nov 2024
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning Vindula Jayawardana Baptiste Freydt Ao Qu Cameron Hickert Zhongxia Yan Cathy Wu 48 1 0 19 Oct 2024
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation S. Batra Gaurav Sukhatme OffRL DRL 31 1 0 09 Oct 2024
Leveraging a Cognitive Model to Measure Subjective Similarity of Human and GPT-4 Written Content Tyler Malloy Maria José Ferreira Fei Fang Cleotilde Gonzalez 36 2 0 30 Aug 2024
CAT: Caution Aware Transfer in Reinforcement Learning via Distributional Risk Mohamad Fares El Hajj Chehade Amrit Singh Bedi Amy Zhang Hao Zhu OffRL AAML 46 0 0 16 Aug 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning Jung-Hoon Cho Vindula Jayawardana Sirui Li Cathy Wu OffRL 50 0 0 08 Aug 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 37 1 0 30 Jun 2024
iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning Aidan Scannell Kalle Kujanpää Yi Zhao Mohammadreza Nakhaei Dieter Büchler Joni Pajarinen SSL 49 5 0 04 Jun 2024
Multi-Agent Transfer Learning via Temporal Contrastive Learning Weihao Zeng Joseph Campbell Simon Stepputtis Katia P. Sycara OffRL 46 2 0 03 Jun 2024
A Minimalist Prompt for Zero-Shot Policy Learning Meng Song Xuezhi Wang Tanay Biradar Yao Qin Manmohan Chandraker OffRL 32 1 0 09 May 2024
Multi-view Disentanglement for Reinforcement Learning with Multiple Cameras Mhairi Dunion Stefano V. Albrecht 32 4 0 22 Apr 2024
Image Deraining via Self-supervised Reinforcement Learning He-Hao Liao Yan-Tsung Peng Wen-Tao Chu Ping-Chun Hsieh Chung-Chi Tsai 27 1 0 27 Mar 2024
Zero-shot cross-modal transfer of Reinforcement Learning policies through a Global Workspace Léopold Maytié Benjamin Devillers Alexandre Arnold R. V. Rullen OffRL 35 1 0 07 Mar 2024
Reinforcement Learning from Bagged Reward Yuting Tang Xin-Qiang Cai Yao-Xiang Ding Qiyu Wu Guoqing Liu Masashi Sugiyama OffRL 30 0 0 06 Feb 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 59 122 0 17 Jan 2024
Disentangled Neural Relational Inference for Interpretable Motion Prediction Victoria M. Dax Jiachen Li Enna Sachdeva Nakul Agarwal Mykel J. Kochenderfer 34 4 0 07 Jan 2024
Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy Jung-Hoon Cho Sirui Li Jeongyun Kim Cathy Wu 11 3 0 27 Nov 2023
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models Yeongbin Kim Gautam Singh Junyeong Park Çağlar Gülçehre Sungjin Ahn OCL VLM 44 1 0 15 Nov 2023
Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning Suraj Singireddy Andre Beckus George K. Atia Sumit Kumar Jha Alvaro Velasquez OffRL 22 0 0 29 Oct 2023
Combining Behaviors with the Successor Features Keyboard Wilka Carvalho Andre Saraiva Angelos Filos Andrew Kyle Lampinen Loic Matthey Richard L. Lewis Honglak Lee Satinder Singh Danilo Jimenez Rezende Daniel Zoran 13 3 0 24 Oct 2023
Zero-Shot Transfer in Imitation Learning Alvaro Cauderan Gauthier Boeshertz Florian Schwarb Calvin Zhang OffRL OOD 19 0 0 10 Oct 2023
Learning Concept-Based Causal Transition and Symbolic Reasoning for Visual Planning Yilue Qian Peiyu Yu Ying Nian Wu Yao Su Wei Wang Lifeng Fan LRM 40 4 0 05 Oct 2023
Sequential Action-Induced Invariant Representation for Reinforcement Learning Dayang Liang Qihang Chen Yunlong Liu 24 4 0 22 Sep 2023
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue 29 4 0 29 Aug 2023
ETHER: Aligning Emergent Communication for Hindsight Experience Replay Kevin Denamganai Daniel Hernández Ozan Vardal S. Missaoui James Alfred Walker 31 0 0 28 Jul 2023
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions Tongxin Li Yiheng Lin Shaolei Ren Adam Wierman AAML OffRL 34 6 0 20 Jul 2023
Causal Reinforcement Learning: A Survey Zhi-Hong Deng Jing Jiang Guodong Long Chen Zhang CML LRM 50 13 0 04 Jul 2023
The Role of Diverse Replay for Generalisation in Reinforcement Learning Max Weltevrede M. Spaan Wendelin Bohmer OffRL 18 1 0 09 Jun 2023
Diversifying Joint Vision-Language Tokenization Learning Vardaan Pahuja A. Piergiovanni A. Angelova 19 0 0 06 Jun 2023
Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL Miguel Suau M. Spaan F. Oliehoek CML 24 4 0 04 Jun 2023
Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation A. Li Elisa Bertino Rih-Teng Wu Ting Wu 26 4 0 31 May 2023
Experience Filter: Using Past Experiences on Unseen Tasks or Environments Anil Yildiz Esen Yel Anthony Corso K. H. Wray Stefan J. Witwicki Mykel J. Kochenderfer OffRL 24 0 0 29 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 22 17 0 23 May 2023
Adversarial Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue AAML 19 0 0 27 Apr 2023
Visual Referential Games Further the Emergence of Disentangled Representations Kevin Denamganai S. Missaoui James Alfred Walker OCL CoGe 16 4 0 27 Apr 2023
Learning in Factored Domains with Information-Constrained Visual Representations Ty Malloy Miao Liu Matthew D Riemer Tim Klinger Gerald Tesauro C. Sims 14 3 0 30 Mar 2023
Deep incremental learning models for financial temporal tabular datasets with distribution shifts Thomas Wong Mauricio Barahona OOD AIFin AI4TS 18 0 0 14 Mar 2023
The tree reconstruction game: phylogenetic reconstruction using reinforcement learning Dana Azouri Oz Granit Michael Alburquerque Yishay Mansour T. Pupko I. Mayrose 21 7 0 12 Mar 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 38 8 0 09 Mar 2023
Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning Simon Guist Jan Schneider-Barnes Alexander Dittrich V. Berenz Bernhard Schölkopf Le Chen 23 3 0 03 Mar 2023
DAVA: Disentangling Adversarial Variational Autoencoder Benjamin Estermann Roger Wattenhofer DRL 105 8 0 02 Mar 2023
Policy-Induced Self-Supervision Improves Representation Finetuning in Visual RL Sébastien M. R. Arnold Fei Sha SSL 13 0 0 12 Feb 2023