Adversarial Intrinsic Motivation for Reinforcement Learning

Adversarial Intrinsic Motivation for Reinforcement Learning

27 May 2021

Papers citing "Adversarial Intrinsic Motivation for Reinforcement Learning"

11 / 11 papers shown

Title
Zero-Shot Offline Imitation Learning via Optimal Transport Thomas Rupf Marco Bagatella Nico Gürtler Jonas Frey Georg Martius OffRL 115 0 0 11 Oct 2024
Quasimetric Value Functions with Dense Rewards Khadichabonu Valieva Bikramjit Banerjee OffRL 30 0 0 13 Sep 2024
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making Vivek Myers Chongyi Zheng Anca Dragan Sergey Levine Benjamin Eysenbach OffRL 38 7 0 24 Jun 2024
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets Haoran He C. Chang Huazhe Xu Ling Pan 83 6 0 03 Jun 2024
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 33 34 0 13 Oct 2023
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning Hongyu Ding Yuan-Yan Tang Qing Wu Bo Wang Chunlin Chen Zhi Wang 32 4 0 16 Jul 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning Tongzhou Wang Antonio Torralba Phillip Isola Amy Zhang OffRL 21 31 0 03 Apr 2023
Goal-Conditioned Reinforcement Learning: Problems and Solutions Minghuan Liu Menghui Zhu Weinan Zhang 22 131 0 20 Jan 2022
Wasserstein Distance Maximizing Intrinsic Control Ishan Durugkar S. Hansen Stephen Spencer Volodymyr Mnih 8 6 0 28 Oct 2021
Reward (Mis)design for Autonomous Driving W. B. Knox A. Allievi Holger Banzhaf Felix Schmitt Peter Stone 69 112 0 28 Apr 2021
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies Soroush Nasiriany Vitchyr H. Pong Ashvin Nair Alexander Khazatsky Glen Berseth Sergey Levine OffRL 58 14 0 23 Apr 2021