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Found 5 papers, 2 papers with code
Completing point cloud from few points by Wasserstein GAN and Transformers
Inspired by the successful applications of GAN and Transformers in the image-based vision task, we introduce GAN and Transformer techniques to address the above problem.
Learning fast and agile quadrupedal locomotion over complex terrain
In this paper, we propose a robust controller that achieves natural and stably fast locomotion on a real blind quadruped robot.
Double-Barreled Question Detection at Momentive
We concluded that the word2vec subword embedding with maximum pooling is the optimal word embedding representation in terms of precision and running time in the offline experiments using the survey data at Momentive.
Deep Reinforcement Learning with Quantum-inspired Experience Replay
In this paper, a novel training paradigm inspired by quantum computation is proposed for deep reinforcement learning (DRL) with experience replay.
A novel DDPG method with prioritized experience replay
Recently, a state-of-the-art algorithm, called deep deterministic policy gradient (DDPG), has achieved good performance in many continuous control tasks in the MuJoCo simulator.
