Liam Schramm

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 8

Top Topics

Diffusion Model

Bayesian Reinforcement Learning

Motion Planning

Top Venues

ESEC/SIGSOFT FSE

Publications

Liam Schramm, Abdeslam Boularias
Bellman Diffusion Models. CoRR (2024)
Liam Schramm, Abdeslam Boularias
Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization. CoRR (2024)
Liam Schramm, Abdeslam Boularias
Learning-Guided Exploration for Efficient Sampling-Based Motion Planning in High Dimensions. ICRA (2022)
Liam Schramm, Yunfu Deng, Edgar Granados, Abdeslam Boularias
USHER: Unbiased Sampling for Hindsight Experience Replay. CoRL (2022)
Liam Schramm, Yunfu Deng, Edgar Granados, Abdeslam Boularias
USHER: Unbiased Sampling for Hindsight Experience Replay. CoRR (2022)
Liam Schramm, Avishai Sintov, Abdeslam Boularias
Learning to Transfer Dynamic Models of Underactuated Soft Robotic Hands. CoRR (2020)
Liam Schramm, Avishai Sintov, Abdeslam Boularias
Learning to Transfer Dynamic Models of Underactuated Soft Robotic Hands. ICRA (2020)
Liam Schramm
Improving performance of automatic program repair using learned heuristics. ESEC/SIGSOFT FSE (2017)