Riley Simmons-Edler

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 8

Top Topics

Credit Assignment

Reversible Watermarking

Exploration Exploitation

Reinforcement Learning

Top Venues

Publications

Riley Simmons-Edler, Ryan Badman, Shayne Longpre, Kanaka Rajan
AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research. CoRR (2024)
Xiaoran Fan, Riley Simmons-Edler, Daewon Lee, Larry D. Jackel, Richard E. Howard, Daniel D. Lee
AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection. CoRR (2021)
Vyacheslav Alipov, Riley Simmons-Edler, Nikita Putintsev, Pavel Kalinin, Dmitry Vetrov
Towards Practical Credit Assignment for Deep Reinforcement Learning. CoRR (2021)
Xiaoran Fan, Riley Simmons-Edler, Daewon Lee, Larry D. Jackel, Richard E. Howard, Daniel D. Lee
AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection. IROS (2021)
Riley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee
Reward Prediction Error as an Exploration Objective in Deep RL. IJCAI (2020)
Riley Simmons-Edler, Ben Eisner, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee
QXplore: Q-learning Exploration by Maximizing Temporal Difference Error. CoRR (2019)
Riley Simmons-Edler, Ben Eisner, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies. CoRR (2019)
Riley Simmons-Edler, Anders Miltner, H. Sebastian Seung
Program Synthesis Through Reinforcement Learning Guided Tree Search. CoRR (2018)