Riley Simmons-Edler

According to our database, Riley Simmons-Edler authored at least 10 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments.

Riley Simmons-Edler, Ryan Paul Badman, Felix Baastad Berg, Raymond Chua, John J. Vastola, Joshua Lunger, William Qian, Kanaka Rajan

CoRR, June, 2025

Military AI Needs Technically-Informed Regulation to Safeguard AI Research and its Applications.

Riley Simmons-Edler, Jean Dong, Paul Lushenko, Kanaka Rajan, Ryan Paul Badman

CoRR, May, 2025

2024

AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research.

Riley Simmons-Edler, Ryan Paul Badman, Shayne Longpre, Kanaka Rajan

CoRR, 2024

Position: AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research.

Riley Simmons-Edler, Ryan Paul Badman, Shayne Longpre, Kanaka Rajan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2021

Towards Practical Credit Assignment for Deep Reinforcement Learning.

Vyacheslav Alipov, Riley Simmons-Edler, Nikita Putintsev, Pavel Kalinin, Dmitry P. Vetrov

CoRR, 2021

AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection.

Xiaoran Fan, Riley Simmons-Edler, Daewon Lee, Larry D. Jackel, Richard E. Howard, Daniel D. Lee

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Reward Prediction Error as an Exploration Objective in Deep RL.

Riley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

QXplore: Q-learning Exploration by Maximizing Temporal Difference Error.

Riley Simmons-Edler, Ben Eisner, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee

CoRR, 2019

Q-Learning for Continuous Actions with Cross-Entropy Guided Policies.

Riley Simmons-Edler, Ben Eisner, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee

CoRR, 2019

2018

Program Synthesis Through Reinforcement Learning Guided Tree Search.

Riley Simmons-Edler, Anders Miltner, H. Sebastian Seung

CoRR, 2018