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Evaluating Deep Reinforcement Learning Algorithms for Quadrupedal Slope Handling
Real-Time Trajectory Adaptation for Quadrupedal Locomotion using Deep Reinforcement Learning
MPC-Net: A First Principles Guided Policy Search (Presentation)
Deep Model-Based RL for Real-World Robotic Control
Stanford Seminar - Robots in Dynamic Tasks: Learning, Risk, and Safety
Single-shot Foothold Selection and Constraint Evaluation for Quadruped Locomotion
ANYmal Learning with Joonho Lee | AI in Robotics Seminar
Learning Latent Dynamics for Planning from Pixels
MIT Robotics - Soon-Jo Chung - Contraction is All You Need in Robot Learning
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning
Stanford CS330:Multi-task and Meta Learning | 2020 | Lecture 11:Meta RL: Adaptable Models & Policies
Learning Efficient Communication for Multi-Robot Collision Avoidance - Alvaro Serra
