Bharat Prakash

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Knowledge Engineering

Function Approximation

Convolutional Neural Networks

Reinforcement Learning

Top Venues

ACM Great Lakes Symposium on VLSI

Publications

Bharat Prakash, Tim Oates, Tinoosh Mohsenin
Using LLMs for Augmenting Hierarchical Agents with Common Sense Priors. FLAIRS (2024)
Tejaswini Manjunath, Mozhgan Navardi, Prakhar Dixit, Bharat Prakash, Tinoosh Mohsenin
ReProHRL: Towards Multi-Goal Navigation in the Real World using Hierarchical Agents. CoRR (2023)
Bharat Prakash, Tim Oates, Tinoosh Mohsenin
LLM Augmented Hierarchical Agents. CoRR (2023)
Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Houman Homayoun, Nicholas R. Waytowich, Tinoosh Mohsenin
A Hardware Accelerator for Language-Guided Reinforcement Learning. IEEE Des. Test 39 (3) (2022)
Aidin Shiri, Utteja Kallakuri, Hasib-Al Rashid, Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
E2HRL: An Energy-efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. ACM Trans. Design Autom. Electr. Syst. 27 (5) (2022)
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 (2022)
Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
Towards an Interpretable Hierarchical Agent Framework using Semantic Goals. CoRR (2022)
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)
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 (2021)
Morteza Hosseini, Nitheesh Kumar Manjunath, Bharat Prakash, Arnab Neelim Mazumder, Vandana Chandrareddy, Houman Homayoun, Tinoosh Mohsenin
Cyclic Sparsely Connected Architectures for Compact Deep Convolutional Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 29 (10) (2021)
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)
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)
Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin, Tim Oates
Automatic Goal Generation using Dynamical Distance Learning. CoRR (2021)
Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
Interactive Hierarchical Guidance using Language. CoRR (2021)
Nitheesh Kumar Manjunath, Aidin Shiri, Morteza Hosseini, Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin
An Energy Efficient EdgeAI Autoencoder Accelerator for Reinforcement Learning. IEEE Open J. Circuits Syst. 2 (2021)
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 (2020)
Bharat Prakash, Nicholas R. Waytowich, Ashwinkumar Ganesan, Tim Oates, Tinoosh Mohsenin
Guiding Safe Reinforcement Learning Policies Using Structured Language Constraints. SafeAI@AAAI (2020)
Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Nitheesh Kumar Manjunath, Houman Homayoun, Avesta Sasan, Nicholas R. Waytowich, Tinoosh Mohsenin
Energy-Efficient Hardware for Language Guided Reinforcement Learning. ACM Great Lakes Symposium on VLSI (2020)
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)
Bharat Prakash, Mohit Khatwani, Nicholas R. Waytowich, Tinoosh Mohsenin
Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention. FLAIRS Conference (2019)
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 (2019)
Bharat Prakash, Mohit Khatwani, Nicholas R. Waytowich, Tinoosh Mohsenin
Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention. CoRR (2019)