Bharat Prakash

According to our database, Bharat Prakash authored at least 19 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

LLM Augmented Hierarchical Agents.

Bharat Prakash, Tim Oates, Tinoosh Mohsenin

CoRR, 2023

ReProHRL: Towards Multi-Goal Navigation in the Real World using Hierarchical Agents.

Tejaswini Manjunath, Mozhgan Navardi, Prakhar Dixit, Bharat Prakash, Tinoosh Mohsenin

CoRR, 2023

2022

E2HRL: An Energy-efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning.

Aidin Shiri, Utteja Kallakuri, Hasib-Al Rashid, Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin

ACM Trans. Design Autom. Electr. Syst., 2022

A Hardware Accelerator for Language-Guided Reinforcement Learning.

Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Houman Homayoun, Nicholas R. Waytowich, Tinoosh Mohsenin

IEEE Des. Test, 2022

Towards an Interpretable Hierarchical Agent Framework using Semantic Goals.

Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin

CoRR, 2022

Retrospective on the 2021 BASALT Competition on Learning from Human Feedback.

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

CoRR, 2022

Combining Learning From Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft.

Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash

Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), 2022

2021

Cyclic Sparsely Connected Architectures for Compact Deep Convolutional Neural Networks.

Morteza Hosseini, Nitheesh Kumar Manjunath, Bharat Prakash, Arnab Neelim Mazumder, Vandana Chandrareddy, Houman Homayoun, Tinoosh Mohsenin

IEEE Trans. Very Large Scale Integr. Syst., 2021

An Energy Efficient EdgeAI Autoencoder Accelerator for Reinforcement Learning.

Nitheesh Kumar Manjunath, Aidin Shiri, Morteza Hosseini, Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin

IEEE Open J. Circuits Syst., 2021

Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft.

Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Bharat Prakash

CoRR, 2021

Automatic Goal Generation using Dynamical Distance Learning.

Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin, Tim Oates

CoRR, 2021

Interactive Hierarchical Guidance using Language.

Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin

CoRR, 2021

Retrospective on the 2021 MineRL BASALT Competition on Learning from Human Feedback.

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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

An Energy-Efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning.

Aidin Shiri, Bharat Prakash, Arnab Neelim Mazumder, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

Neural Networks for Pulmonary Disease Diagnosis using Auditory and Demographic Information.

Morteza Hosseini, Haoran Ren, Hasib-Al Rashid, Arnab Neelim Mazumder, Bharat Prakash, Tinoosh Mohsenin

CoRR, 2020

Energy-Efficient Hardware for Language Guided Reinforcement Learning.

Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Nitheesh Kumar Manjunath, Houman Homayoun, Avesta Sasan, Nicholas R. Waytowich, Tinoosh Mohsenin

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

Guiding Safe Reinforcement Learning Policies Using Structured Language Constraints.

Bharat Prakash, Nicholas R. Waytowich, Ashwinkumar Ganesan, Tim Oates, Tinoosh Mohsenin

Proceedings of the Workshop on Artificial Intelligence Safety, 2020

2019

On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning.

Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention.

Bharat Prakash, Mohit Khatwani, Nicholas R. Waytowich, Tinoosh Mohsenin

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019