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Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks.

, , , , , and . Frontiers Robotics AI, (2021)

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A hierarchical system for word discovery exploiting DTW-based initialization., , , and . ASRU, page 386-391. IEEE, (2013)Multi-Modal Generative Models for Learning Epistemic Active Sensing., , , , and . ICRA, page 3319-3325. IEEE, (2019)Learn to Move Through a Combination of Policy Gradient Algorithms: DDPG, D4PG, and TD3., , , , and . LOD (2), volume 12566 of Lecture Notes in Computer Science, page 631-644. Springer, (2020)Modular Deep Reinforcement Learning for Emergent Locomotion on a Six-Legged Robot., , and . BioRob, page 946-953. IEEE, (2020)ToBI - Team of Bielefeld: Enhancing Robot Behaviors and the Role of Multi-robotics in RoboCup@Home., , , and . RoboCup, volume 9776 of Lecture Notes in Computer Science, page 577-588. Springer, (2016)Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation., , , , , and . Frontiers Robotics AI, (2018)Semantical occupancy grid mapping framework., , , and . ECMR, page 1-8. IEEE, (2017)Towards Inverse Sensor Mapping in Agriculture., , , and . CoRR, (2018)Guiding Representation Learning in Deep Generative Models with Policy Gradients., , , , and . OLA, volume 1443 of Communications in Computer and Information Science, page 115-131. Springer, (2021)Fiducial Marker based Extrinsic Camera Calibration for a Robot Benchmarking Platform., , , , and . ECMR, page 1-6. IEEE, (2019)