Siddharth Srivastava
29 papers · 2016–2026 · 11 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Academic Marathon (9) π Conference Polyglot (11) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (7)
π
Cross-Pollinator
(7)
π
Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(57)
π
Grand Slam
π
Conference Pioneer
ποΈ
Keyword Collector
(135)
β‘
Prolific Year
(7)
π
Century Club
(28)
β
The Questioner
π₯
Unstoppable
(5)
Conferences
AAAI (9)
IJCAI (6)
NIPS (3)
CVPR (2)
ICLR (2)
WACV (2)
ACL (1)
CORL (1)
ICCV (1)
ICML (1)
UAI (1)
Top co-authors
Keywords
hierarchical planning
(4)
automated planning
(3)
multimodal learning
(3)
reinforcement learning
(3)
state abstraction
(3)
sample efficiency
(2)
sequential decision-making
(2)
interpretable model
(2)
black-box agent
(2)
representation learning
(2)
multi-modal learning
(2)
explanation generation
(2)
transfer learning
(2)
active learning
(2)
partial observability
(2)
relational abstraction
(2)
domain adaptation
(1)
policy optimization
(1)
continual learning
(1)
text-to-image synthesis
(1)
Papers
Context-Sensitive Abstractions for Reinforcement Learning with Parameterized Actions
AAAI 2026
Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning
AAAI 2025
From Real World to Logic and Back: Learning Generalizable Relational Concepts For Long Horizon Robot Planning
CORL 2025
Explain It as Simple as Possible, but No Simpler β Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint)
IJCAI 2025
Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks
ICLR 2025
Preserve Anything: Controllable Image Synthesis with Object Preservation
ICCV 2025
Using Explainable AI and Hierarchical Planning for Outreach with Robots
AAAI 2025
AUTOSUMM: A Comprehensive Framework for LLM-Based Conversation Summarization
ACL 2025
OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning
CVPR 2024
Belief-State Query Policies for User-Aligned POMDPs
NIPS 2024
Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention
AAAI 2024
Hierarchical Decompositions and Termination Analysis for Generalized Planning (Abstract Reprint)
IJCAI 2024
OmniVec: Learning Robust Representations With Cross Modal Sharing
WACV 2024
Conditional abstraction trees for sample-efficient reinforcement learning
UAI 2023
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings
NIPS 2023
Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems
IJCAI 2022
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations
ICLR 2022
Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems
NIPS 2022
Differential Assessment of Black-Box AI Agents
AAAI 2022
Beyond Mono to Binaural: Generating Binaural Audio From Mono Audio With Depth and Cross Modal Attention
WACV 2022
Beyond Image to Depth: Improving Depth Prediction Using Echoes
CVPR 2021
Asking the Right Questions: Learning Interpretable Action Models Through Query Answering
AAAI 2021
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning
AAAI 2021
Unifying Principles and Metrics for Safe and Assistive AI
AAAI 2021
A Unified Framework for Planning in Adversarial and Cooperative Environments
AAAI 2019
Why Canβt You Do That HAL? Explaining Unsolvability of Planning Tasks
IJCAI 2019
Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations
IJCAI 2018
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms
ICML 2018
Markovian State and Action Abstractions for MDPs via Hierarchical MCTS
IJCAI 2016