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Brain-inspired synaptic transistors for in-situ spiking reinforcement learning with eligibility trace. [PDF]
Wang Y +7 more
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Children and adults differ in how primary and secondary incentives modulate valuation, effort, and cognitive control. [PDF]
Veselic S +3 more
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Human Interactive Learning with Intrinsic Reward
2023 IEEE Conference on Games (CoG), 2023Recently, deep reinforcement learning (RL) algorithms have been advanced, and especially, Importance Weighted Actor-Learner Architecture (IMPALA) outperformed human expert scores in some of the Atari-2600 games.
Sung-Yun Park +2 more
semanticscholar +2 more sources
Unified curiosity-Driven learning with smoothed intrinsic reward estimation
Pattern Recognition, 2022In reinforcement learning (RL), the intrinsic reward estimation is necessary for policy learning when the extrinsic reward is sparse or absent. To this end, Unified Curiosity-driven Learning with Smoothed intrinsic reward Estimation (UCLSE) is proposed ...
Fuxian Huang, Yongjian Fu, Jiabao Cui
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LJIR: Learning Joint-Action Intrinsic Reward in cooperative multi-agent reinforcement learning
Neural Networks, 2023Effective exploration is the key to achieving high returns for reinforcement learning. Agents must explore jointly in multi-agent systems to find the optimal joint policy. Due to the exploration problem and the shared reward, the policy-based multi-agent
Biao Luo
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Surprise rewards and brand evaluations: The role of intrinsic motivation and reward format
Journal of Business Research, 2020Surprise is a neutral amplifier of emotions and used by marketers to elevate customer affect from satisfaction to delight. The dark side of surprise, however, is that it can turn something mildly unpleasant into something very unpleasant.
Subimal Chatterjee
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