Asynchronous Coagent Networks: Stochastic Networks for Reinforcement Learning without Backpropagation or a Clock. - James E. Kostas; Chris Nota; Philip S. Thomas (CoRR, 2019)

Classical Policy Gradient: Preserving Bellman's Principle of Optimality. - Philip S. Thomas; Scott M. Jordan; Yash Chandak; Chris Nota; James E. Kostas (CoRR, 2019)

Lifelong Learning with a Changing Action Set. - Yash Chandak; Georgios Theocharous; Chris Nota; Philip S. Thomas (AAAI, 2020)

Is the Policy Gradient a Gradient? - Chris Nota; Philip S. Thomas (AAMAS, 2020)

Asynchronous Coagent Networks. - James E. Kostas; Chris Nota; Philip S. Thomas (ICML, 2020)

Learning Reusable Options for Multi-Task Reinforcement Learning. - Francisco M. Garcia; Chris Nota; Philip S. Thomas (CoRR, 2020)

Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods. - Chris Nota; Philip S. Thomas; Bruno C. da Silva 001 (ICML, 2021)

On the Convergence of Discounted Policy Gradient Methods. - Chris Nota (CoRR, 2022)