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Chris Nota
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Year
Is the Policy Gradient a Gradient?
C Nota, PS Thomas
19th International Conference on Autonomous Agents and MultiAgent Systems …, 2020
662020
Lifelong learning with a changing action set
Y Chandak, G Theocharous, C Nota, P Thomas
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3373-3380, 2020
312020
Asynchronous Coagent Networks
JE Kostas, C Nota, PS Thomas
Proceedings of the International Conference on Machine Learning, 1442-1451, 2020
11*2020
Posterior value functions: Hindsight baselines for policy gradient methods
C Nota, P Thomas, BC Da Silva
International Conference on Machine Learning, 8238-8247, 2021
92021
Learning reusable options for multi-task reinforcement learning
FM Garcia, C Nota, PS Thomas
arXiv preprint arXiv:2001.01577, 2020
52020
AGI Risk and Friendly AI Policy Solutions
C Nota
https://github.com/cpnota/cpnota.github.io/blob/master/papers/nota_agi_risk.pdf, 2015
3*2015
Improvements to MCTS Simulation Policies in Go
D LaPlante, C Nota
Project Report, 2014
22014
Improvements to mcts simulation policies in go
CP Nota, DJ LaPlante
12014
On the Convergence of Discounted Policy Gradient Methods
C Nota
arXiv preprint arXiv:2212.14066, 2022
2022
Auto-Encoding Recurrent Representations
C Nota, C Wong, PS Thomas
The Fifth Multidisciplinary Conference on Reinforcement Learning and …, 2022
2022
Preventing Contrast Effect Exploitation in Recommendations
C Nota, G Theocharous, M Saad, PS Thomas
2021
Classical Policy Gradient: Preserving Bellman's Principle of Optimality
PS Thomas, SM Jordan, Y Chandak, C Nota, J Kostas
arXiv preprint arXiv:1906.03063, 2019
2019
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Articles 1–12