1 citations · 1 across the 7 of their papers we have counts for
7 papers
Predictive AI with External Knowledge Infusion: Datasets and Benchmarks for Stock Markets
Ambedkar Dukkipati, Kawin Mayilvaghanan, Naveen Kumar Pallekonda +2
Fluctuations in stock prices are influenced by a complex interplay of factors that go beyond mere historical data. These factors, themselves influenced by external forces, encompas…
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.…
Reinforcement Learning under External Influence: Guarantees, Algorithms, and Sample Complexity
Ranga Shaarad Ayyagari, Revanth Raj Eega, Ambedkar Dukkipati
In this paper, we study the problem of reinforcement learning under the influence of external events. For this, we consider Markov decision processes with continuous state and acti…
Risk-Aware Algorithms for Combinatorial Semi-Bandits
Shaarad Ayyagari, Ambedkar Dukkipati
In this paper, we study the stochastic combinatorial multi-armed bandit problem under semi-bandit feedback. While much work has been done on algorithms that optimize the expected r…
Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm
Ambedkar Dukkipati, Rajarshi Banerjee, Ranga Shaarad Ayyagari +1
Solving complex problems using reinforcement learning necessitates breaking down the problem into manageable tasks and learning policies to solve these tasks. These policies, in tu…