Sai Krishna Gottipati, Yashaswi Pathak, Rohan Nuttall, Sahir, Raviteja Chunduru, Ahmed Touati, Sriram Ganapathi Subramanian, Matthew E. Taylor and Sarath Chandar Anbil Parthipan
Paper (2020)
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| Department: | Department of Computer Engineering and Software Engineering |
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| PolyPublie URL: | https://publications.polymtl.ca/46904/ |
| Conference Title: | 2020 NeurIPS Deep RL Workshop |
| Conference Date(s): | 2020-12-11 |
| Official URL: | https://drive.google.com/file/d/1GFMiR1ZrsXqDZiF19... |
| Date Deposited: | 18 Apr 2023 15:00 |
| Last Modified: | 25 Sep 2024 16:35 |
| Cite in APA 7: | Gottipati, S. K., Pathak, Y., Nuttall, R., Sahir, Chunduru, R., Touati, A., Subramanian, S. G., Taylor, M. E., & Anbil Parthipan, S. C. (2020, December). Maximum reward formulation in reinforcement learning [Paper]. 2020 NeurIPS Deep RL Workshop (15 pages). https://drive.google.com/file/d/1GFMiR1ZrsXqDZiF19-As9FApUl4AaE4y/view?usp=sharing |
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