96 citations · 491 across the 80 of their papers we have counts for
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Active Reinforcement Learning Strategies for Offline Policy Improvement
Ambedkar Dukkipati, Ranga Shaarad Ayyagari, Bodhisattwa Dasgupta +2
Learning agents that excel at sequential decision-making tasks must continuously resolve the problem of exploration and exploitation for optimal learning. However, such interaction…
Temporal Abstraction in Reinforcement Learning with Offline Data
Ranga Shaarad Ayyagari, Anurita Ghosh, Ambedkar Dukkipati
Standard reinforcement learning algorithms with a single policy perform poorly on tasks in complex environments involving sparse rewards, diverse behaviors, or long-term planning.…
Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks
Tony Gracious, Ambedkar Dukkipati
Understanding relations arising out of interactions among entities can be very difficult, and predicting them is even more challenging. This problem has many applications in variou…