Publications

Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets

*Y. Gao, K. Y. C. Lui, and P. Hernandez-Leal. ICML Workshop, 2021

Reinforcement Learning

Temporally Extended Auxiliary Tasks

C. Sherstan, B. Kartal, P. Hernandez-Leal, and M. E. Taylor. AAMAS Workshop, 2020

Reinforcement Learning

Multi Type Mean Field Reinforcement Learning

S. Subramanian, P. Poupart, M. E. Taylor, and N. Hegde. AAMAS, 2020

Reinforcement Learning

Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents

F. L. Da Silva, P. Hernandez-Leal, B. Kartal, and M. E. Taylor. AAAI, 2020

Reinforcement Learning

Maximum Entropy Monte-Carlo Planning

C. Xiao, R. Huang, J. Mei, D. Schuurmans, and M. Müller. NeurIPS, 2019

Reinforcement Learning

Towers of Saliency: A Reinforcement Learning Visualization Using Immersive Environments

N. Douglas, D. Yim, B. Kartal, P. Hernandez-Leal, M. E. Taylor, and F. Maurer. ISS, 2019

Reinforcement Learning

On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman

C. Gao, B. Kartal, P. Hernandez-Leal, and M. E. Taylor. AIIDE, 2019

Reinforcement Learning

Action Guidance with MCTS for Deep Reinforcement Learning

*B. Kartal, *P. Hernandez-Leal, and M. E. Taylor. AIIDE, 2019

Reinforcement Learning

Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning

*B. Kartal, *P. Hernandez-Leal, and M. E. Taylor. AIIDE, 2019

Reinforcement Learning

Agent Modeling as Auxiliary Task for Deep Reinforcement Learning

*B. Kartal, *P. Hernandez-Leal, and M. E. Taylor. AIIDE, 2019

Reinforcement Learning

On Principled Entropy Exploration in Policy Optimization

*J. Mei, *C. Xiao, R. Huang, D. Schuurmans, and M. Müller. IJCAI, 2019

Reinforcement Learning

Private Q-Learning with Functional Noise in Continuous Spaces

B. Wang, and N. Hegde. NeurIPS, 2019

Reinforcement Learning; Responsible AI