Exploration and Anti-Exploration with Distributional Random Network
Distillation

Exploration and Anti-Exploration with Distributional Random Network Distillation

18 January 2024

Papers citing "Exploration and Anti-Exploration with Distributional Random Network Distillation"

11 / 11 papers shown

Title
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning Shangzhe Li Zhiao Huang Hao Su 52 0 0 04 May 2025
The Role of Deep Learning Regularizations on Actors in Offline RL Denis Tarasov Anja Surina Çağlar Gülçehre OffRL AI4CE 45 1 0 11 Sep 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning Haozhe Ma Zhengding Luo Thanh Vinh Vo Kuankuan Sima Tze-Yun Leong 26 4 0 06 Aug 2024
FOSP: Fine-tuning Offline Safe Policy through World Models Chenyang Cao Yucheng Xin Silang Wu Longxiang He Zichen Yan Junbo Tan Xueqian Wang OffRL 39 0 0 06 Jul 2024
CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning Zeyuan Liu Kai Yang Xiu Li OffRL 40 0 0 11 Jun 2024
World Models with Hints of Large Language Models for Goal Achieving Zeyuan Liu Ziyu Huan Xiyao Wang Jiafei Lyu Jian Tao Xiu Li Furong Huang Huazhe Xu LM&Ro LRM AI4CE 29 1 0 11 Jun 2024
CORL: Research-oriented Deep Offline Reinforcement Learning Library Denis Tarasov Alexander Nikulin Dmitry Akimov Vladislav Kurenkov Sergey Kolesnikov OffRL 46 76 0 13 Oct 2022
State Advantage Weighting for Offline RL Jiafei Lyu Aicheng Gong Le Wan Zongqing Lu Xiu Li OffRL 27 9 0 09 Oct 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 203 627 0 12 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 92 261 0 04 Oct 2021
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics Arsenii Kuznetsov Pavel Shvechikov Alexander Grishin Dmitry Vetrov 129 184 0 08 May 2020