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Publication search results
found 24 matches
- 2023
- Raphael Trumpp, Denis Hoornaert, Marco Caccamo:
Residual Policy Learning for Vehicle Control of Autonomous Racing Cars. IV 2023: 1-6 - Chenran Li, Chen Tang, Haruki Nishimura, Jean Mercat, Masayoshi Tomizuka, Wei Zhan:
Residual Q-Learning: Offline and Online Policy Customization without Value. NeurIPS 2023 - Raphael Trumpp, Denis Hoornaert, Marco Caccamo:
Residual Policy Learning for Vehicle Control of Autonomous Racing Cars. CoRR abs/2302.07035 (2023) - Chenran Li, Chen Tang, Haruki Nishimura, Jean Mercat, Masayoshi Tomizuka, Wei Zhan:
Residual Q-Learning: Offline and Online Policy Customization without Value. CoRR abs/2306.09526 (2023) - Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher:
Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action Spaces. CoRR abs/2310.14788 (2023) - 2022
- Peng Hao, Tao Lu, Shaowei Cui, Junhang Wei, Yinghao Cai, Shuo Wang:
Meta-Residual Policy Learning: Zero-Trial Robot Skill Adaptation via Knowledge Fusion. IEEE Robotics Autom. Lett. 7(2): 3656-3663 (2022) - Ruiqi Zhang, Jing Hou, Guang Chen, Zhijun Li, Jianxiao Chen, Alois C. Knoll:
Residual Policy Learning Facilitates Efficient Model-Free Autonomous Racing. IEEE Robotics Autom. Lett. 7(4): 11625-11632 (2022) - Niklas Höpner, Ilaria Tiddi, Herke van Hoof:
Leveraging Class Abstraction for Commonsense Reinforcement Learning via Residual Policy Gradient Methods. IJCAI 2022: 3050-3056 - Niklas Höpner, Ilaria Tiddi, Herke van Hoof:
Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methods. CoRR abs/2201.12126 (2022) - Viktor Eriksson Möllerstedt, Alessio Russo, Maxime Bouton:
Model Based Residual Policy Learning with Applications to Antenna Control. CoRR abs/2211.08796 (2022) - Lindsey Kerbel, Beshah Ayalew, Andrej Ivanco, Keith Loiselle:
Residual Policy Learning for Powertrain Control. CoRR abs/2212.07611 (2022) - 2021
- Yannis Flet-Berliac, Reda Ouhamma, Odalric-Ambrym Maillard, Philippe Preux:
Learning Value Functions in Deep Policy Gradients using Residual Variance. ICLR 2021 - Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Bayesian Residual Policy Optimization: : Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. IROS 2021: 5611-5618 - Oren Spector, Miriam Zacksenhouse:
Learning Contact-Rich Assembly Skills Using Residual Admittance Policy. IROS 2021: 6023-6030 - 2020
- Andrew Hynes, Elena P. Sapozhnikova, Ivana Dusparic:
Optimising PID Control with Residual Policy Reinforcement Learning. AICS 2020: 277-288 - Charles B. Schaff, Matthew R. Walter:
Residual Policy Learning for Shared Autonomy. Robotics: Science and Systems 2020 - Gilwoo Lee, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts. CoRR abs/2002.03042 (2020) - Charles B. Schaff, Matthew R. Walter:
Residual Policy Learning for Shared Autonomy. CoRR abs/2004.05097 (2020) - 2019
- Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou:
Reinforcement Learning Experience Reuse with Policy Residual Representation. IJCAI 2019: 4447-4453 - Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou:
Reinforcement Learning Experience Reuse with Policy Residual Representation. CoRR abs/1905.13719 (2019) - 2018
- Tom Silver, Kelsey R. Allen, Josh Tenenbaum, Leslie Pack Kaelbling:
Residual Policy Learning. CoRR abs/1812.06298 (2018) - 2017
- Matteo Saveriano, Yuchao Yin, Pietro Falco, Dongheui Lee:
Data-efficient control policy search using residual dynamics learning. IROS 2017: 4709-4715 - 2008
- András Antos, Csaba Szepesvári, Rémi Munos:
Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path. Mach. Learn. 71(1): 89-129 (2008) - 2006
- András Antos, Csaba Szepesvári, Rémi Munos:
Learning Near-Optimal Policies with Bellman-Residual Minimization Based Fitted Policy Iteration and a Single Sample Path. COLT 2006: 574-588
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