Deep Successor Reinforcement Learning

8 June 2016

Papers citing "Deep Successor Reinforcement Learning"

45 / 45 papers shown

Title
NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations Myunsoo Kim Hayeong Lee Seong-Woong Shim JunHo Seo Byung-Jun Lee LLMAG 39 0 0 22 Jan 2025
SR-Reward: Taking The Path More Traveled Seyed Mahdi Basiri Azad Zahra Padar Gabriel Kalweit Joschka Boedecker OffRL 72 0 0 04 Jan 2025
Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning Augustine N. Mavor-Parker Matthew J. Sargent Caswell Barry Lewis D. Griffin Clare Lyle 52 2 0 09 Jul 2024
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning Changhong Wang Xudong Yu Chenjia Bai Qiaosheng Zhang Zhen Wang 42 1 0 12 May 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 29 21 0 17 Jan 2024
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning Hongming Zhang Tongzheng Ren Chenjun Xiao Dale Schuurmans Bo Dai 47 4 0 20 Nov 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
Reinforcement Learning from Passive Data via Latent Intentions Dibya Ghosh Chethan Bhateja Sergey Levine OffRL 36 44 0 10 Apr 2023
Understanding the Complexity Gains of Single-Task RL with a Curriculum Qiyang Li Yuexiang Zhai Yi Ma Sergey Levine 39 14 0 24 Dec 2022
Reward-Predictive Clustering Lucas Lehnert M. Frank Michael L. Littman OffRL 27 0 0 07 Nov 2022
Efficient search of active inference policy spaces using k-means Alex B. Kiefer Mahault Albarracin 35 0 0 06 Sep 2022
Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 40 27 0 19 Aug 2022
Making Linear MDPs Practical via Contrastive Representation Learning Tianjun Zhang Tongzheng Ren Mengjiao Yang Joseph E. Gonzalez Dale Schuurmans Bo Dai 25 44 0 14 Jul 2022
AKF-SR: Adaptive Kalman Filtering-based Successor Representation Parvin Malekzadeh Mohammad Salimibeni Ming Hou Arash Mohammadi Konstantinos N. Plataniotis 25 5 0 31 Mar 2022
A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning Tongzheng Ren Tianjun Zhang Csaba Szepesvári Bo Dai 27 19 0 22 Nov 2021
Successor Feature Representations Chris Reinke Xavier Alameda-Pineda 29 5 0 29 Oct 2021
Action-Sufficient State Representation Learning for Control with Structural Constraints Erdun Gao Chaochao Lu Liu Leqi José Miguel Hernández-Lobato Clark Glymour Bernhard Schölkopf Kun Zhang 59 32 0 12 Oct 2021
A First-Occupancy Representation for Reinforcement Learning Theodore H. Moskovitz S. Wilson M. Sahani 39 15 0 28 Sep 2021
APS: Active Pretraining with Successor Features Hao Liu Pieter Abbeel 52 119 0 31 Aug 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision Vitchyr H. Pong Ashvin Nair Laura M. Smith Catherine Huang Sergey Levine OffRL 36 66 0 08 Jul 2021
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification Benjamin Eysenbach Sergey Levine Ruslan Salakhutdinov OffRL 39 50 0 23 Mar 2021
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction Hongyao Tang Jianye Hao Guangyong Chen Pengfei Chen Chong Chen Yaodong Yang Lu Zhang Wulong Liu Zhaopeng Meng OffRL 35 4 0 03 Mar 2021
Generative Temporal Difference Learning for Infinite-Horizon Prediction Michael Janner Igor Mordatch Sergey Levine AI4CE 23 34 0 27 Oct 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning Tianren Zhang Shangqi Guo Tian Tan Xiaolin Hu Feng Chen 30 82 0 20 Jun 2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans Ge Yang Amy Zhang Ari S. Morcos Joelle Pineau Pieter Abbeel Roberto Calandra SSL OffRL 28 27 0 07 May 2020
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning Tianpei Yang Weixun Wang Hongyao Tang Jianye Hao Zhaopeng Meng ... Wulong Liu Chen Zhang Yujing Hu Yingfeng Chen Changjie Fan 26 22 0 19 Feb 2020
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 25 53 0 25 Aug 2019
A neurally plausible model learns successor representations in partially observable environments Eszter Vértes M. Sahani 19 42 0 22 Jun 2019
Shaping Belief States with Generative Environment Models for RL Karol Gregor Danilo Jimenez Rezende F. Besse Yan Wu Hamza Merzic Aaron van den Oord OffRL AI4CE 25 118 0 21 Jun 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning Yilun Du Karthik Narasimhan 19 33 0 13 May 2019
Successor Features Combine Elements of Model-Free and Model-based Reinforcement Learning Lucas Lehnert Michael L. Littman 29 10 0 31 Jan 2019
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement André Barreto Diana Borsa John Quan Tom Schaul David Silver Matteo Hessel D. Mankowitz Augustin Žídek Rémi Munos OffRL 43 161 0 30 Jan 2019
Universal Successor Features Approximators Diana Borsa André Barreto John Quan D. Mankowitz Rémi Munos H. V. Hasselt David Silver Tom Schaul 28 114 0 18 Dec 2018
M $^3$ RL: Mind-aware Multi-agent Management Reinforcement Learning Tianmin Shu Yuandong Tian 28 53 0 29 Sep 2018
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge Michal Garmulewicz Henryk Michalewski Piotr Milos 16 8 0 10 Sep 2018
Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation Craig Sherstan Marlos C. Machado P. Pilarski 33 10 0 23 Mar 2018
Automated Curriculum Learning by Rewarding Temporally Rare Events Niels Justesen S. Risi OffRL 35 20 0 19 Mar 2018
A Critical Investigation of Deep Reinforcement Learning for Navigation Vikas Dhiman Shurjo Banerjee Brent A. Griffin J. Siskind Jason J. Corso 35 36 0 07 Feb 2018
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 65 2,780 0 19 Aug 2017
Gated-Attention Architectures for Task-Oriented Language Grounding Devendra Singh Chaplot Kanthashree Mysore Sathyendra Rama Kumar Pasumarthi Dheeraj Rajagopal Ruslan Salakhutdinov LM&Ro 13 276 0 22 Jun 2017
Independently Controllable Features Emmanuel Bengio Valentin Thomas Joelle Pineau Doina Precup Yoshua Bengio DRL 29 66 0 22 Mar 2017
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments Jingwei Zhang Jost Tobias Springenberg Joschka Boedecker Wolfram Burgard 22 294 0 16 Dec 2016
Reinforcement Learning with Unsupervised Auxiliary Tasks Max Jaderberg Volodymyr Mnih Wojciech M. Czarnecki Tom Schaul Joel Z Leibo David Silver Koray Kavukcuoglu SSL 13 1,222 0 16 Nov 2016
Learning to Act by Predicting the Future Alexey Dosovitskiy V. Koltun 29 280 0 06 Nov 2016
Successor Features for Transfer in Reinforcement Learning André Barreto Will Dabney Rémi Munos Jonathan J. Hunt Tom Schaul H. V. Hasselt David Silver 16 563 0 16 Jun 2016