Program Synthesis Through Reinforcement Learning Guided Tree Search. - Riley Simmons-Edler; Anders Miltner; H. Sebastian Seung (CoRR, 2018)

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)

QXplore: Q-learning Exploration by Maximizing Temporal Difference Error. - Riley Simmons-Edler; Ben Eisner; Eric Mitchell; H. Sebastian Seung; Daniel D. Lee (CoRR, 2019)

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 (IJCAI, 2020)

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 (IROS, 2021)

Towards Practical Credit Assignment for Deep Reinforcement Learning. - Vyacheslav Alipov; Riley Simmons-Edler; Nikita Putintsev; Pavel Kalinin; Dmitry P. Vetrov (CoRR, 2021)

Position: AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research. - Riley Simmons-Edler; Ryan Paul Badman; Shayne Longpre; Kanaka Rajan (ICML, 2024)

AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research. - Riley Simmons-Edler; Ryan Paul Badman; Shayne Longpre; Kanaka Rajan (CoRR, 2024)

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, 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 001; Kanaka Rajan (CoRR, 2025)