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Bharat Prakash
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2020 – today
- 2024
- [c8]Bharat Prakash, Tim Oates, Tinoosh Mohsenin:
Using LLMs for Augmenting Hierarchical Agents with Common Sense Priors. FLAIRS 2024 - 2023
- [i10]Tejaswini Manjunath, Mozhgan Navardi, Prakhar Dixit, Bharat Prakash, Tinoosh Mohsenin:
ReProHRL: Towards Multi-Goal Navigation in the Real World using Hierarchical Agents. CoRR abs/2308.08737 (2023) - [i9]Bharat Prakash, Tim Oates, Tinoosh Mohsenin:
LLM Augmented Hierarchical Agents. CoRR abs/2311.05596 (2023) - 2022
- [j4]Aidin Shiri
, Arnab Neelim Mazumder
A Hardware Accelerator for Language-Guided Reinforcement Learning. IEEE Des. Test 39(3): 37-44 (2022) - [j3]Aidin Shiri
E2HRL: An Energy-efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. ACM Trans. Design Autom. Electr. Syst. 27(5): 45:1-45:19 (2022) - [c7]Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash:
Combining Learning From Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft. AAAI Spring Symposium: MAKE 2022 - [i8]Rohin Shah, Steven H. Wang, Cody Wild, Stephanie Milani, Anssi Kanervisto, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash, Edmund Mills, Divyansh Garg, Alexander Fries, Alexandra Souly, Jun Shern Chan, Daniel del Castillo, Tom Lieberum:
Retrospective on the 2021 BASALT Competition on Learning from Human Feedback. CoRR abs/2204.07123 (2022) - [i7]Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin:
Towards an Interpretable Hierarchical Agent Framework using Semantic Goals. CoRR abs/2210.08412 (2022) - 2021
- [j2]Nitheesh Kumar Manjunath
An Energy Efficient EdgeAI Autoencoder Accelerator for Reinforcement Learning. IEEE Open J. Circuits Syst. 2: 182-195 (2021) - [j1]Morteza Hosseini
Cyclic Sparsely Connected Architectures for Compact Deep Convolutional Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 29(10): 1757-1770 (2021) - [c6]Aidin Shiri, Bharat Prakash, Arnab Neelim Mazumder, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin:
An Energy-Efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. AICAS 2021: 1-4 - [c5]Rohin Shah, Steven H. Wang, Cody Wild, Stephanie Milani, Anssi Kanervisto, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash, Edmund Mills, Divyansh Garg, Alexander Fries, Alexandra Souly, Jun Shern Chan, Daniel del Castillo, Tom Lieberum:
Retrospective on the 2021 MineRL BASALT Competition on Learning from Human Feedback. NeurIPS (Competition and Demos) 2021: 259-272 - [i6]Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin:
Interactive Hierarchical Guidance using Language. CoRR abs/2110.04649 (2021) - [i5]Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin, Tim Oates:
Automatic Goal Generation using Dynamical Distance Learning. CoRR abs/2111.04120 (2021) - [i4]Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Bharat Prakash:
Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft. CoRR abs/2112.03482 (2021) - 2020
- [c4]Bharat Prakash, Nicholas R. Waytowich, Ashwinkumar Ganesan, Tim Oates, Tinoosh Mohsenin:
Guiding Safe Reinforcement Learning Policies Using Structured Language Constraints. SafeAI@AAAI 2020: 153-161 - [c3]Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Nitheesh Kumar Manjunath
Energy-Efficient Hardware for Language Guided Reinforcement Learning. ACM Great Lakes Symposium on VLSI 2020: 131-136 - [i3]Morteza Hosseini, Haoran Ren, Hasib-Al Rashid, Arnab Neelim Mazumder, Bharat Prakash, Tinoosh Mohsenin:
Neural Networks for Pulmonary Disease Diagnosis using Auditory and Demographic Information. CoRR abs/2011.13194 (2020)
2010 – 2019
- 2019
- [c2]Bharat Prakash, Mohit Khatwani, Nicholas R. Waytowich, Tinoosh Mohsenin:
Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention. FLAIRS 2019: 50-55 - [c1]Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin:
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning. ACM Great Lakes Symposium on VLSI 2019: 507-512 - [i2]Bharat Prakash, Mohit Khatwani, Nicholas R. Waytowich, Tinoosh Mohsenin:
Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention. CoRR abs/1903.09328 (2019) - [i1]Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin:
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning. CoRR abs/1903.10404 (2019)
Coauthor Index
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