Prakash Panangaden
9 papers · 2015–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (23) 🐣 Hot Topic Early Bird
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Research topics
Machine Learning
(9)
Artificial Intelligence
(6)
Reinforcement Learning
(5)
Core Methods
(5)
Core AI
(4)
Learning Types
(4)
Methods
(4)
Optimization & Theory
(3)
Deep Learning
(2)
Applications
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Models
(2)
Mathematics & Optimization
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Probability
(1)
Keywords
markov decision process
(4)
representation learning
(3)
reinforcement learning
(3)
policy gradient
(2)
continuous control
(2)
value function approximation
(1)
value function
(1)
variational inference
(1)
distributional reinforcement learning
(1)
state abstraction
(1)
convergence analysis
(1)
policy iteration
(1)
mdp homomorphisms
(1)
preference learning
(1)
sample efficiency
(1)
reward function
(1)
optimal policy
(1)
likelihood estimation
(1)
partial observability
(1)
deep reinforcement learning
(1)
Papers
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
ICLR 2025
Conditions on Preference Relations that Guarantee the Existence of Optimal Policies
AISTATS 2024
Policy Gradient Methods in the Presence of Symmetries and State Abstractions
JMLR 2024
Continuous MDP Homomorphisms and Homomorphic Policy Gradient
NeurIPS 2022
Riemannian Diffusion Models
NeurIPS 2022
MICo: Improved representations via sampling-based state similarity for Markov decision processes
NeurIPS 2021
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms
AISTATS 2020
Latent Variable Modelling with Hyperbolic Normalizing Flows
ICML 2020
Basis refinement strategies for linear value function approximation in MDPs
NeurIPS 2015