July 2020, Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning, International Joint Conference on Neural Networks, Glasgow, Scotland (accepted)
January 2020, Neuro-evolutionary Frameworks for Generalized Learning Agents
January, 2019 PhD Thesis: Towards Experience-Efficient Reinforcement Learning, SUTD.
December, 2018 Self-organizing maps for storage and transfer of knowledge in reinforcement learning in Adaptive Behavior.
July 2018 A self-replication basis for designing complex agents in GECCO, Kyoto, Japan.
July 2018 Self-organizing maps as a storage and transfer mechanism in reinforcement learning in Autonomous Agents and Multiagent Systems (AAMAS) Adaptive Learning Agents Workshop, Stockholm, Sweden.
June 2018 Experience Replay Using Transition Sequences in Frontiers in Neurorobotics.
May 2017 Identification and off-policy learning of multiple objectives using adaptive clustering in Neurocomputing.
September 2015 Adapting Low-Cost Platforms for Robotics Research in FinE-R@IROS, Hamburg, Germany.
June 2013 Sensing discomfort of standing passengers in public rail transportation systems using a smart phone in ICCA, Hangzhou, China.
December 2010 Modeling and Simulation of the Dynamics of the Quick Return Mechanism: A Bond Graph Approach in IPRoMM, Jaipur, India.
*Codes available at: