Yashaswi Pathak

Publication Activity (10 Years)

Years Active: 2020-2021
Publications (10 Years): 7

Top Topics

Partially Observable Environments

Reinforcement Learning

Eligibility Traces

Top Venues

J. Comput. Chem.

J. Chem. Inf. Model.

Publications

Sai Krishna Gottipati, Yashaswi Pathak, Boris Sattarov, Sahir, Rohan Nuttall, Mohammad Amini, Matthew E. Taylor, Sarath Chandar
Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery. AAAI (2021)
Yashaswi Pathak, Sarvesh Mehta, U. Deva Priyakumar
Learning Atomic Interactions through Solvation Free Energy Prediction Using Graph Neural Networks. J. Chem. Inf. Model. 61 (2) (2021)
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Simon Blackburn, Karam M. J. Thomas, Connor W. Coley, Jian Tang, Sarath Chandar, Yoshua Bengio
Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning. ICML (2020)
Yashaswi Pathak, Siddhartha Laghuvarapu, Sarvesh Mehta, U. Deva Priyakumar
Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-Like Molecules. AAAI (2020)
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Karam M. J. Thomas, Simon Blackburn, Connor W. Coley, Jian Tang, Sarath Chandar, Yoshua Bengio
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning. CoRR (2020)
Siddhartha Laghuvarapu, Yashaswi Pathak, U. Deva Priyakumar
BAND NN: A Deep Learning Framework for Energy Prediction and Geometry Optimization of Organic Small Molecules. J. Comput. Chem. 41 (8) (2020)
Sai Krishna Gottipati, Yashaswi Pathak, Rohan Nuttall, Sahir, Raviteja Chunduru, Ahmed Touati, Sriram Ganapathi Subramanian, Matthew E. Taylor, Sarath Chandar
Maximum Reward Formulation In Reinforcement Learning. CoRR (2020)