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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 / 252 papers shown

Title
Breaking Habits: On the Role of the Advantage Function in Learning Causal State Representations Miguel Suau CML 67 0 0 13 Jun 2025
MAGIK: Mapping to Analogous Goals via Imagination-enabled Knowledge Transfer Ajsal Shereef Palattuparambil Thommen George Karimpanal Santu Rana OffRL 47 0 0 02 Jun 2025
Hybrid Cross-domain Robust Reinforcement Learning Linh Le Pham Van Minh Hoang Nguyen Hung Le H. Tran Sunil R. Gupta OffRL 36 0 0 29 May 2025
Imagine Beyond! Distributionally Robust Auto-Encoding for State Space Coverage in Online Reinforcement Learning Nicolas Castanet Olivier Sigaud Sylvain Lamprier OffRL 108 0 0 23 May 2025
Zero-Shot Visual Generalization in Robot Manipulation Sumeet Batra Gaurav Sukhatme 75 0 0 16 May 2025
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning Qian Wang Zhe Zhang Baao Xie Xin Jin Yansen Wang Shiyu Wang Liaomo Zheng Xiaokang Yang Wenjun Zeng OffRL 106 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 114 0 0 08 Mar 2025
On Generalization Across Environments In Multi-Objective Reinforcement Learning Jayden Teoh Pradeep Varakantham Peter Vamplew OffRL 111 1 0 02 Mar 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 115 6 0 24 Jan 2025
Evolution and The Knightian Blindspot of Machine Learning Joel Lehman Elliot Meyerson Tarek El-Gaaly Kenneth O. Stanley Tarin Ziyaee 137 4 0 22 Jan 2025
AMM: Adaptive Modularized Reinforcement Model for Multi-city Traffic Signal Control Zherui Huang Yicheng Liu Chumeng Liang Guanjie Zheng 45 0 0 07 Jan 2025
Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents Wonje Choi Woo Kyung Kim SeungHyun Kim Honguk Woo 157 11 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 66 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 82 1 0 19 Oct 2024
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 Luckeciano C. Melo OffRL 172 1 0 17 Oct 2024
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation Sumeet Batra Gaurav Sukhatme OffRL DRL 81 2 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 61 3 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 83 0 0 16 Aug 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning Jung-Hoon Cho Vindula Jayawardana Sirui Li Cathy Wu OffRL 158 0 0 08 Aug 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 95 2 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 142 5 0 04 Jun 2024
Multi-Agent Transfer Learning via Temporal Contrastive Learning Weihao Zeng Joseph Campbell Simon Stepputtis Katia Sycara OffRL 108 2 0 03 Jun 2024
A Minimalist Prompt for Zero-Shot Policy Learning Meng Song Xuezhi Wang Tanay Biradar Yao Qin Manmohan Chandraker OffRL 61 1 0 09 May 2024
Multi-view Disentanglement for Reinforcement Learning with Multiple Cameras Mhairi Dunion Stefano V. Albrecht 89 5 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 123 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 54 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 75 0 0 06 Feb 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 194 130 0 17 Jan 2024
Disentangled Neural Relational Inference for Interpretable Motion Prediction Victoria M. Dax Jiachen Li Enna Sachdeva Nakul Agarwal Mykel J. Kochenderfer 70 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 70 4 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 111 5 0 15 Nov 2023
Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning Suraj Singireddy Andre Beckus George Atia Sumit Kumar Jha Alvaro Velasquez OffRL 28 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 78 4 0 24 Oct 2023
Zero-Shot Transfer in Imitation Learning Alvaro Cauderan Gauthier Boeshertz Florian Schwarb Calvin Zhang OffRL OOD 32 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 101 4 0 05 Oct 2023
Sequential Action-Induced Invariant Representation for Reinforcement Learning Dayang Liang Qihang Chen Yunlong Liu 90 4 0 22 Sep 2023
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue 52 4 0 29 Aug 2023
ETHER: Aligning Emergent Communication for Hindsight Experience Replay Kevin Denamganai Daniel Hernández Ozan Vardal S. Missaoui James Alfred Walker 41 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 95 8 0 20 Jul 2023
Causal Reinforcement Learning: A Survey Zhi-Hong Deng Jing Jiang Guodong Long Chen Zhang CML LRM 101 16 0 04 Jul 2023
The Role of Diverse Replay for Generalisation in Reinforcement Learning Max Weltevrede M. Spaan Wendelin Bohmer OffRL 64 1 0 09 Jun 2023
Diversifying Joint Vision-Language Tokenization Learning Vardaan Pahuja A. Piergiovanni A. Angelova 69 0 0 06 Jun 2023
Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL Miguel Suau M. Spaan F. Oliehoek CML 85 6 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 71 5 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 31 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 72 19 0 23 May 2023
Adversarial Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue AAML 34 0 0 27 Apr 2023
Visual Referential Games Further the Emergence of Disentangled Representations Kevin Denamganai S. Missaoui James Alfred Walker OCL CoGe 69 5 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 29 4 0 30 Mar 2023
Deep incremental learning models for financial temporal tabular datasets with distribution shifts Thomas Wong Mauricio Barahona OOD AIFin AI4TS 151 0 0 14 Mar 2023