research
∙
06/17/2021
Learning from Demonstration without Demonstrations
State-of-the-art reinforcement learning (RL) algorithms suffer from high...
share
research
∙
10/25/2020
Robust Hierarchical Planning with Policy Delegation
We propose a novel framework and algorithm for hierarchical planning bas...
research
∙
04/06/2020
Intrinsic Exploration as Multi-Objective RL
Intrinsic motivation enables reinforcement learning (RL) agents to explo...
research
∙
01/20/2020
Reinforcement Learning with Probabilistically Complete Exploration
Balancing exploration and exploitation remains a key challenge in reinfo...
research
∙
09/08/2019
Local Sampling-based Planning with Sequential Bayesian Updates
Sampling-based planners are the predominant motion planning paradigm for...
research
∙
06/18/2019