Results 11 to 20 of about 5,108,324 (327)
NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration [PDF]
IEEE International Conference on Robotics and Automation, 2023 Robotic learning for navigation in unfamiliar environments needs to provide policies for both task-oriented navigation (i.e., reaching a goal that the robot has located), and task-agnostic exploration (i.e., searching for a goal in a novel setting ...
A. Sridhar +3 more
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An Exploration of Embodied Visual Exploration [PDF]
International Journal of Computer Vision, 2021 30 main + 21 appendix pages, 23 ...
Santhosh K. Ramakrishnan +2 more
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Exploring Exploration: Identity Exploration in Real-Time Interactions among Peers [PDF]
Identity, 2021 In this short-term longitudinal study, we examine specific examples of identity exploration in real-time interactions among peers. The participants included 12 first-year students majoring in literature, social sciences, and humanities at a national university in Japan (M age = 18.2; SD = 0.39; 83.3% female).
Kazumi Sugimura +3 more
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Exploring to learn and learning to explore [PDF]
Psychological Research, 2020 In respect to ecological psychology processes of attunement and calibration, this critical review focusses on how exploratory behaviors may contribute to skilled perception and action, with particular attention to sport. Based on the theoretical insights of Gibson (The senses considered as perceptual systems, Houghton Mifflin, Boston, 1966) and Reed ...
Guillaume Hacques +3 more
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Curiosity-Driven Exploration by Self-Supervised Prediction [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 In many real-world scenarios, rewards extrinsic to the agent are extremely sparse, or absent altogether. In such cases, curiosity can serve as an intrinsic reward signal to enable the agent to explore its environment and learn skills that might be useful
Deepak Pathak +3 more
semanticscholar +1 more source
RACER: Rapid Collaborative Exploration With a Decentralized Multi-UAV System [PDF]
IEEE Transactions on robotics, 2022 Although the use of multiple unmanned aerial vehicles (UAVs) has great potential for fast autonomous exploration, it has received far too little attention.
Boyu Zhou, Hao Xu, S. Shen
semanticscholar +1 more source
Re-exploring Mechanisms of Exploration [PDF]
Neuron, 2019 Deciding when to exploit what is already known and when to explore new possibilities is crucial for adapting to novel and dynamic environments. Using reinforcement-based decision making, Costa et al. (2019) in this issue of Neuron find that neurons in the amygdala and ventral-striatum differentially signal the benefit from exploring new options and ...
Tamar, Reitich-Stolero +2 more
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BYOL-Explore: Exploration by Bootstrapped Prediction
Advances in Neural Information Processing Systems 35, 2022 We present BYOL-Explore, a conceptually simple yet general approach for curiosity-driven exploration in visually-complex environments. BYOL-Explore learns a world representation, the world dynamics, and an exploration policy all-together by optimizing a single prediction loss in the latent space with no additional auxiliary objective. We show that BYOL-
Guo, Zhaohan Daniel +13 more
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Exploring Scenario Exploration [PDF]
, 2015 Model finders are very popular for exploring scenarios, helping users validate specifications by navigating through conforming model instances. To be practical, the semantics of such scenario exploration operations should be formally defined and, ideally, controlled by the users, so that they are able to quickly reach interesting scenarios.
Nuno Macedo 0001 +2 more
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Nature Communications, 2023 Abstract Animals face uncertainty about their environments due to initial ignorance or subsequent changes. They therefore need to explore. However, the algorithmic structure of exploratory choices in the brain still remains largely elusive. Artificial agents face the same problem, and a venerable idea in reinforcement learning is that
Georgy Antonov, Peter Dayan
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