Aditya Mahajan
6 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(14)
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Research topics
Keywords
markov decision process
(2)
partially observable markov decision process
(2)
reinforcement learning
(2)
agent state
(2)
function approximation
(1)
self-supervised learning
(1)
sample complexity
(1)
linear function approximator
(1)
belief state
(1)
approximate planning
(1)
approximate dynamic programming
(1)
stochastic approximation
(1)
concentration inequality
(1)
recurrent neural network
(1)
cumulative reward
(1)
periodic policy
(1)
markov property
(1)
concentration bound
(1)
partially observable mdp
(1)
history-based policy
(1)
Papers
A Theoretical Justification for Asymmetric Actor-Critic Algorithms
ICML 2025
Concentration of Cumulative Reward in Markov Decision Processes
JMLR 2025
Bridging State and History Representations: Understanding Self-Predictive RL
ICLR 2024
On learning history-based policies for controlling Markov decision processes
AISTATS 2024
Periodic agent-state based Q-learning for POMDPs
NeurIPS 2024
Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems
JMLR 2022