Ved Prakash Mishra
Papers
2
Total Citations
48
H-Index
2
About
Ved Prakash Mishra’s research bridges reinforcement learning and digital transformation, with a focus on developing principled frameworks for intelligent decision-making. His most impactful contribution, “Maximum Information Measure Policies in Reinforcement Learning with Deep Energy-Based Model” (2021, 46 citations), introduces a novel framework for learning maximum entropy policies in reinforcement learning. This work enables the acquisition of robust, articulated policies for consistent states and actions—a challenge previously limited to summarised domains. By adapting environments to support maximum entropy learning, Mishra’s framework leads to a simplified Q-learning service, offering a theoretically grounded yet practical approach to policy optimization. His work has been influential in advancing deep energy-based models for reinforcement learning, providing a foundation for more stable and efficient exploration strategies. More recently, Mishra has turned his attention to the hospitality and tourism industry, analyzing the impact of digital influence in “Analysis and Impact of Digital Influence in Hospitality and Tourism Industry” (2024). This work examines how Industry 4.0 technologies and digital accessibility are accelerating sector growth, with data indicating a 6% annual increase in global tourism transactions and a predicted additional 20% rise due to pervasive tech adoption. Mishra’s research demonstrates a commitment to both foundational AI theory and its applied impact across industries.
Research Focus
Key Achievements
Top Papers
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