Generative Adversarial Self-Imitation Learning

3 December 2018

Papers citing "Generative Adversarial Self-Imitation Learning"

35 / 35 papers shown

Title
Likelihood Reward Redistribution Minheng Xiao Zhenbang Jiao 66 0 0 20 Mar 2025
Continuous Control of Diverse Skills in Quadruped Robots Without Complete Expert Datasets Jiaxin Tu Xiaoyi Wei Yueqi Zhang Taixian Hou Xiaofei Gao Zhiyan Dong Peng Zhai Lihua Zhang 58 0 0 05 Mar 2025
Preference-Guided Reinforcement Learning for Efficient Exploration Guojian Wang Faguo Wu Xiao Zhang Tianyuan Chen Xuyang Chen Lin Zhao 45 0 0 09 Jul 2024
Improving Dialogue Agents by Decomposing One Global Explicit Annotation with Local Implicit Multimodal Feedback Dong Won Lee Hae Won Park Yoon Kim C. Breazeal Louis-Philippe Morency 32 0 0 17 Mar 2024
Learning Diverse Policies with Soft Self-Generated Guidance Guojian Wang Faguo Wu Xiao Zhang Jianxiang Liu OffRL 31 4 0 07 Feb 2024
Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning Xiaofei Xu Ke Deng Michael Dann Xiuzhen Zhang 21 4 0 28 Jan 2024
Multi-Agent Generative Adversarial Interactive Self-Imitation Learning for AUV Formation Control and Obstacle Avoidance Zheng Fang Tianhao Chen Dongqian Jiang Zheng Zhang Guangliang Li 23 2 0 21 Jan 2024
Trajectory-Oriented Policy Optimization with Sparse Rewards Guojian Wang Faguo Wu Xiao Zhang OffRL 30 1 0 04 Jan 2024
Policy Optimization with Smooth Guidance Learned from State-Only Demonstrations Guojian Wang Faguo Wu Xiao Zhang Tianyuan Chen Zhiming Zheng 44 0 0 30 Dec 2023
Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards Alain Andres Daochen Zha Javier Del Ser 39 0 0 01 Nov 2023
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey Tongzhou Mu H. Su OffRL 35 1 0 23 Mar 2023
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training Philipp Altmann Thomy Phan Fabian Ritz Thomas Gabor Claudia Linnhoff-Popien OffRL 35 1 0 18 Jan 2023
Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble Chong Li OffRL 32 0 0 07 Dec 2022
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration Pengyi Li Hongyao Tang Tianpei Yang Xiaotian Hao Tong Sang ... Jianye Hao Matthew E. Taylor Wenyuan Tao Zhen Wang Fazl Barez 21 31 0 16 Mar 2022
Learning Category-Level Generalizable Object Manipulation Policy via Generative Adversarial Self-Imitation Learning from Demonstrations Hao Shen Weikang Wan He Wang SSL 33 24 0 04 Mar 2022
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles Won Joon Yun Myungjae Shin Soyi Jung S. Kwon Joongheon Kim 24 5 0 26 Dec 2021
Learning Long-Term Reward Redistribution via Randomized Return Decomposition Zhizhou Ren Ruihan Guo Yuanshuo Zhou Jian-wei Peng 24 36 0 26 Nov 2021
Off-Policy Reinforcement Learning with Delayed Rewards Beining Han Zhizhou Ren Zuofan Wu Yuanshuo Zhou Jian-wei Peng OffRL 23 29 0 22 Jun 2021
A Max-Min Entropy Framework for Reinforcement Learning Seungyul Han Y. Sung 30 20 0 19 Jun 2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning Daochen Zha Jingru Xie Wenye Ma Sheng Zhang Xiangru Lian Xia Hu Ji Liu 25 117 0 11 Jun 2021
Self-Supervised Online Reward Shaping in Sparse-Reward Environments F. Memarian Wonjoon Goo Rudolf Lioutikov S. Niekum Ufuk Topcu OffRL 34 48 0 08 Mar 2021
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments Daochen Zha Wenye Ma Lei Yuan Xia Hu Ji Liu 14 44 0 20 Jan 2021
Self-Imitation Advantage Learning Johan Ferret Olivier Pietquin M. Geist 76 20 0 22 Dec 2020
Learning Guidance Rewards with Trajectory-space Smoothing Tanmay Gangwani Yuanshuo Zhou Jian Peng 26 33 0 23 Oct 2020
Adversarial Imitation Learning via Random Search Myungjae Shin Joongheon Kim 19 11 0 21 Aug 2020
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning Yunhao Tang A. Kucukelbir OffRL 27 16 0 13 Jun 2020
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration Seungyul Han Y. Sung 19 24 0 02 Jun 2020
State-only Imitation with Transition Dynamics Mismatch Tanmay Gangwani Jian Peng 28 50 0 27 Feb 2020
Machine Learning Approaches For Motor Learning: A Short Review Baptiste Caramiaux Jules Françoise A. Liu Téo Sanchez Frédéric Bevilacqua 19 11 0 11 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 33 821 0 20 Jan 2020
Google Research Football: A Novel Reinforcement Learning Environment Karol Kurach Anton Raichuk Piotr Stańczyk Michal Zajac Olivier Bachem ... C. Riquelme Damien Vincent Marcin Michalski Olivier Bousquet Sylvain Gelly 54 398 0 25 Jul 2019
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards Yijie Guo Jongwook Choi Marcin Moczulski Shengyu Feng Samy Bengio Mohammad Norouzi Honglak Lee 25 10 0 24 Jul 2019
Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning Yang Liu Yunan Luo Yuanyi Zhong Xi Chen Qiang Liu Jian-wei Peng 17 35 0 31 May 2019
Randomized Adversarial Imitation Learning for Autonomous Driving Myungjae Shin Joongheon Kim 20 25 0 13 May 2019
Hindsight Generative Adversarial Imitation Learning N. Liu Tao Lu Yinghao Cai Boyao Li Shuo Wang 27 6 0 19 Mar 2019