3 citations · 4 across the 10 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.RO2021★ 3 cited
Solving Challenging Control Problems Using Two-Staged Deep Reinforcement Learning
Nitish Sontakke, Sehoon Ha
We present a deep reinforcement learning (deep RL) algorithm that consists of learning-based motion planning and imitation to tackle challenging control problems. Deep RL has been…
cs.RO2021
PM-FSM: Policies Modulating Finite State Machine for Robust Quadrupedal Locomotion
Ren Liu, Nitish Sontakke, Sehoon Ha
Deep reinforcement learning (deep RL) has emerged as an effective tool for developing controllers for legged robots. However, vanilla deep RL often requires a tremendous amount of…