Count-Based Exploration in Feature Space for Reinforcement Learning

Count-Based Exploration in Feature Space for Reinforcement Learning

25 June 2017

S. N. Sasikumar

Marcus Hutter

Papers citing "Count-Based Exploration in Feature Space for Reinforcement Learning"

7 / 7 papers shown

Title
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning Haozhe Ma Zhengding Luo Thanh Vinh Vo Kuankuan Sima Tze-Yun Leong 70 6 0 06 Aug 2024
Robust Q-Learning for finite ambiguity sets Cécile Decker Julian Sester 47 1 0 05 Jul 2024
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning Mingqi Yuan Roger Creus Castanyer Bo Li Xin Jin Glen Berseth Wenjun Zeng 86 0 0 29 May 2024
Selective Uncertainty Propagation in Offline RL Sanath Kumar Krishnamurthy Shrey Modi Tanmay Gangwani S. Katariya Branislav Kveton A. Rangi OffRL 109 0 0 01 Feb 2023
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 100 7,590 0 22 Sep 2015
Massively Parallel Methods for Deep Reinforcement Learning Arun Nair Praveen Srinivasan Sam Blackwell Cagdas Alcicek Rory Fearon ... Stig Petersen Shane Legg Volodymyr Mnih Koray Kavukcuoglu David Silver OffRL AI4CE GNN 58 504 0 15 Jul 2015
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 58 2,992 0 19 Jul 2012