218 citations · 396 across the 14 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.RO2023★ 23 cited
Benchmarking Potential Based Rewards for Learning Humanoid Locomotion
Se Hwan Jeon, Steve Heim, Charles Khazoom +1
The main challenge in developing effective reinforcement learning (RL) pipelines is often the design and tuning the reward functions. Well-designed shaping reward can lead to signi…
cs.RO2023★ 2 cited
Reinforcement Learning for Legged Robots: Motion Imitation from Model-Based Optimal Control
AJ Miller, Shamel Fahmi, Matthew Chignoli +1
We propose MIMOC: Motion Imitation from Model-Based Optimal Control. MIMOC is a Reinforcement Learning (RL) controller that learns agile locomotion by imitating reference trajector…