4 citations · 9 across the 13 of their papers we have counts for
5 papers · 1 filter
Direction-Conditioned Policies for Online Goal-Conditioned Reinforcement Learning
S K Swaminathan, Damiya Gondha, Theyanesh Eswaramoorthy Rajahkrishnan +1
Contrastive Reinforcement Learning (CRL) learns representations that estimate goal reachability, yet its policy remains conditioned on raw goals and therefore does not directly exp…
ProCap: Prominence-guided Object Rectification for Faithful and Comprehensive Video Captioning
Debjyoti Das Adhikary, Aritra Hazra, Partha Pratim Chakrabarti
Improving video captioning quality typically demands retraining large vision-language models, an expensive and often impractical requirement. Existing training-free alternatives in…
BackgroundMellow: A Multi-Modal Cohesive Framework for Narrative-Driven Rich Cinematic Soundscape Generation
Ajitesh Jamulkar, Aritra Hazra
Generating immersive, synchronized and cinematic audio for long-form textual narratives remains a significant challenge in multi-modal AI. While current Text-to-Audio (TTA) framewo…
Direction-Conditioned Policies via Compositional Subgoal Scoring for Online Goal-Conditioned Reinforcement Learning
Swaminathan S K, Damiya Gondha, Theyanesh Eswaramoorthy Rajahkrishnan +1
Hamilton-Jacobi-Bellman theory implies that the optimal goal-conditioned action depends on the goal only through the gradient of the goal-reaching distance at the current state, ye…
SPAARS: Safer RL Policy Alignment through Abstract Exploration and Refined Exploitation of Action Space
Swaminathan S K, Aritra Hazra
Offline-to-online reinforcement learning (RL) offers a promising paradigm for robotics by pre-training policies on safe, offline demonstrations and fine-tuning them via online inte…