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Via Hardmaru, Research Scientist at Google Brain in Tokyo https://arxiv.org/abs/2109.11978 Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning. A video from their paper of thousands of robots learning to
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PDF) DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning
Sensors | Free Full-Text | Learning Mobile Manipulation through Deep Reinforcement Learning
Agile and Intelligent Locomotion via Deep Reinforcement Learning – Google AI Blog
Simulating travel paths of construction site workers via deep reinforcement learning considering their spatial cognition and wayfinding behavior - ScienceDirect
ETH Zurich and NVIDIA's Massively Parallel Deep RL Enables Robots to Learn to Walk in Minutes | Synced
Synthesizing the optimal gait of a quadruped robot with soft actuators using deep reinforcement learning - ScienceDirect
Deep Reinforcement Learning for Walking Robots - MATLAB and Simulink Robotics Arena - YouTube
9 Reinforcement Learning Real-Life Applications
Deep reinforcement learning for real-world quadrupedal locomotion: a comprehensive review
9 Reinforcement Learning Real-Life Applications
Jie Tan's Homepage
Learning to Walk via Deep Reinforcement Learning
Deep Reinforcement Learning: From SARSA to DDPG and beyond | by Pascal Janetzky | Towards Data Science
Deep reinforcement learning for real-world quadrupedal locomotion: a comprehensive review
This Robot Taught Itself to Walk in a Simulation—Then Went for a Stroll in Berkeley
Learning to Walk via Deep Reinforcement Learning - YouTube
Jie Tan's Homepage
A robot that teaches itself to walk using reinforcement learning
Learning to Walk via Deep Reinforcement Learning
Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation | Journal of NeuroEngineering and Rehabilitation | Full Text
Learning to Walk via Deep Reinforcement Learning | DeepAI
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PDF] Learning to Walk via Deep Reinforcement Learning | Semantic Scholar
Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning - IEEE Access
