These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
171 related articles for article (PubMed ID: 34157646)
1. The asymmetric learning rates of murine exploratory behavior in sparse reward environments. Ohta H; Satori K; Takarada Y; Arake M; Ishizuka T; Morimoto Y; Takahashi T Neural Netw; 2021 Nov; 143():218-229. PubMed ID: 34157646 [TBL] [Abstract][Full Text] [Related]
2. Nonlinear age-related differences in probabilistic learning in mice: A 5-armed bandit task study. Ohta H; Nozawa T; Nakano T; Morimoto Y; Ishizuka T Neurobiol Aging; 2024 Oct; 142():8-16. PubMed ID: 39029360 [TBL] [Abstract][Full Text] [Related]
3. Do learning rates adapt to the distribution of rewards? Gershman SJ Psychon Bull Rev; 2015 Oct; 22(5):1320-7. PubMed ID: 25582684 [TBL] [Abstract][Full Text] [Related]
4. Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making. Xu HA; Modirshanechi A; Lehmann MP; Gerstner W; Herzog MH PLoS Comput Biol; 2021 Jun; 17(6):e1009070. PubMed ID: 34081705 [TBL] [Abstract][Full Text] [Related]
5. Asymmetric and adaptive reward coding via normalized reinforcement learning. Louie K PLoS Comput Biol; 2022 Jul; 18(7):e1010350. PubMed ID: 35862443 [TBL] [Abstract][Full Text] [Related]
7. MuDE: Multi-agent decomposed reward-based exploration. Yoo B; Yi S; Kim H; Shin Y; Han R; Seo S; Song HJ; Chung E; Yang J Neural Netw; 2024 Nov; 179():106565. PubMed ID: 39111159 [TBL] [Abstract][Full Text] [Related]
8. LJIR: Learning Joint-Action Intrinsic Reward in cooperative multi-agent reinforcement learning. Chen Z; Luo B; Hu T; Xu X Neural Netw; 2023 Oct; 167():450-459. PubMed ID: 37683459 [TBL] [Abstract][Full Text] [Related]
9. Uncertainty and exploration in a restless bandit problem. Speekenbrink M; Konstantinidis E Top Cogn Sci; 2015 Apr; 7(2):351-67. PubMed ID: 25899069 [TBL] [Abstract][Full Text] [Related]
11. Robot-assisted motor training: assistance decreases exploration during reinforcement learning. Sans-Muntadas A; Duarte JE; Reinkensmeyer DJ Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():3516-20. PubMed ID: 25570749 [TBL] [Abstract][Full Text] [Related]
12. Sex differences in learning from exploration. Chen CS; Knep E; Han A; Ebitz RB; Grissom NM Elife; 2021 Nov; 10():. PubMed ID: 34796870 [TBL] [Abstract][Full Text] [Related]
13. Adaptive properties of differential learning rates for positive and negative outcomes. Cazé RD; van der Meer MA Biol Cybern; 2013 Dec; 107(6):711-9. PubMed ID: 24085507 [TBL] [Abstract][Full Text] [Related]
14. Separating Probability and Reversal Learning in a Novel Probabilistic Reversal Learning Task for Mice. Metha JA; Brian ML; Oberrauch S; Barnes SA; Featherby TJ; Bossaerts P; Murawski C; Hoyer D; Jacobson LH Front Behav Neurosci; 2019; 13():270. PubMed ID: 31998088 [TBL] [Abstract][Full Text] [Related]
15. Contributions of expected learning progress and perceptual novelty to curiosity-driven exploration. Poli F; Meyer M; Mars RB; Hunnius S Cognition; 2022 Aug; 225():105119. PubMed ID: 35421742 [TBL] [Abstract][Full Text] [Related]
16. Unique features of stimulus-based probabilistic reversal learning. Harris C; Aguirre C; Kolli S; Das K; Izquierdo A; Soltani A Behav Neurosci; 2021 Aug; 135(4):550-570. PubMed ID: 34460275 [TBL] [Abstract][Full Text] [Related]
17. Novelty and Inductive Generalization in Human Reinforcement Learning. Gershman SJ; Niv Y Top Cogn Sci; 2015 Jul; 7(3):391-415. PubMed ID: 25808176 [TBL] [Abstract][Full Text] [Related]
18. Model-based reinforcement learning under concurrent schedules of reinforcement in rodents. Huh N; Jo S; Kim H; Sul JH; Jung MW Learn Mem; 2009 May; 16(5):315-23. PubMed ID: 19403794 [TBL] [Abstract][Full Text] [Related]
19. Cognitively inspired reinforcement learning architecture and its application to giant-swing motion control. Uragami D; Takahashi T; Matsuo Y Biosystems; 2014 Feb; 116():1-9. PubMed ID: 24296286 [TBL] [Abstract][Full Text] [Related]
20. Discovering and Exploiting Sparse Rewards in a Learned Behavior Space. Paolo G; Coninx M; Laflaquière A; Doncieux S Evol Comput; 2024 Sep; 32(3):275-305. PubMed ID: 37793063 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]