research
∙
09/12/2023
Reasoning with Latent Diffusion in Offline Reinforcement Learning
Offline reinforcement learning (RL) holds promise as a means to learn hi...
share
research
∙
04/13/2023
Model-based Dynamic Shielding for Safe and Efficient Multi-Agent Reinforcement Learning
Multi-Agent Reinforcement Learning (MARL) discovers policies that maximi...
research
∙
12/01/2022
Safe Reinforcement Learning with Probabilistic Control Barrier Functions for Ramp Merging
Prior work has looked at applying reinforcement learning and imitation l...
research
∙
11/20/2022
Safe Control Under Input Limits with Neural Control Barrier Functions
We propose new methods to synthesize control barrier function (CBF)-base...
research
∙
07/21/2022
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning
Impressive results in natural language processing (NLP) based on the Tra...
research
∙
05/08/2022
Provable Probabilistic Safety and Feasibility-Assured Control for Autonomous Vehicles using Exponential Control Barrier Functions
With the increasing need for safe control in the domain of autonomous dr...
research
∙
10/29/2019
Learning a Safety Verifiable Adaptive Cruise Controller from Human Driving Data
Imitation learning provides a way to automatically construct a controlle...
research
∙
10/28/2019
Measuring Similarity of Interactive Driving Behaviors Using Matrix Profile
Understanding multi-vehicle interactive behaviors with temporal sequenti...
research
∙
08/09/2014
