Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments

9 October 2019

Vinicius G. Goecks

Gregory M. Gremillion

Vernon J. Lawhern

J. Valasek

Nicholas R. Waytowich

OffRL

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Papers citing "Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments"

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Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action Spaces Ammar N. Abbas Georgios C. Chasparis John D. Kelleher 24 3 0 15 Oct 2023
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TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets Yuanying Cai Chuheng Zhang Li Zhao Wei Shen Xuyun Zhang Lei Song Jiang Bian Tao Qin Tie-Yan Liu OffRL 25 3 0 05 Dec 2022
Behavior Prior Representation learning for Offline Reinforcement Learning Hongyu Zang Xin Li Jie Yu Chen Liu Riashat Islam Rémi Tachet des Combes Romain Laroche OffRL OnRL 35 10 0 02 Nov 2022
Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control Murad Dawood Nils Dengler Jorge de Heuvel Maren Bennewitz 24 9 0 04 Oct 2022
Sample-Efficient Multi-Agent Reinforcement Learning with Demonstrations for Flocking Control Yunbo Qiu Yuzhu Zhan Yue Jin Jian Wang Xudong Zhang 26 6 0 17 Sep 2022
Sub-optimal Policy Aided Multi-Agent Reinforcement Learning for Flocking Control Yunbo Qiu Yue Jin Jian Wang Xudong Zhang 16 1 0 17 Sep 2022
Disturbance-Injected Robust Imitation Learning with Task Achievement Hirotaka Tahara Hikaru Sasaki Hanbit Oh B. Michael Takamitsu Matsubara 18 9 0 09 May 2022
A Survey on Reinforcement Learning Methods in Character Animation Ariel Kwiatkowski Eduardo Alvarado Vicky Kalogeiton Chenxi Liu Julien Pettré M. van de Panne Marie-Paule Cani AI4CE 19 44 0 07 Mar 2022
Evolutionary Action Selection for Gradient-based Policy Learning Yan Ma T. Liu Bingsheng Wei Yi Liu Kang Xu Wei Li 26 8 0 12 Jan 2022
Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft Vinicius G. Goecks Nicholas R. Waytowich David Watkins Bharat Prakash 13 7 0 07 Dec 2021
Improving Learning from Demonstrations by Learning from Experience Hao-Kang Liu Yiwen Chen Jiayi Tan M. Ang OffRL 22 1 0 16 Nov 2021
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation Isabella Liu Shagun Uppal Gaurav Sukhatme Joseph J. Lim Péter Englert Youngwoon Lee 24 12 0 11 Nov 2021
Multi-Agent Advisor Q-Learning Sriram Ganapathi Subramanian Matthew E. Taylor Kate Larson Mark Crowley OffRL 19 10 0 26 Oct 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 58 780 0 12 Jun 2021
GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback Jie Huang Rongshun Juan R. Gomez Keisuke Nakamura Q. Sha Bo He Guangliang Li 27 10 0 14 Apr 2021
Data-Driven Simulation of Ride-Hailing Services using Imitation and Reinforcement Learning H. Jayasinghe Tarindu Jayatilaka Ravin Gunawardena Uthayasanker Thayasivam 30 0 0 06 Apr 2021
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks Luca Marzari Ameya Pore Diego DallÁlba G. Aragon-Camarasa Alessandro Farinelli Paolo Fiorini 38 28 0 08 Feb 2021
Diluted Near-Optimal Expert Demonstrations for Guiding Dialogue Stochastic Policy Optimisation Thibault Cordier Tanguy Urvoy L. Rojas-Barahona F. Lefèvre 29 5 0 25 Nov 2020
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems Vinicius G. Goecks 17 11 0 30 Aug 2020
Fighting Failures with FIRE: Failure Identification to Reduce Expert Burden in Intervention-Based Learning Trevor Ablett Filip Marić Jonathan Kelly OffRL 11 6 0 01 Jul 2020