Amrit Bedi
11 papers · 2022–2024 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 🗃️ Keyword Collector (59)
💎
Century Club · Bronze
⚡
Prolific Year · Productive
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Renaissance Researcher
(5)
Top co-authors
Research topics
Reinforcement Learning
(8)
Methods
(7)
Artificial Intelligence
(5)
Machine Learning
(5)
Applications · Reinforcement Learning
(4)
Core AI
(4)
Optimization & Theory
(4)
Robotics
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Applications · Natural Language Processing
(1)
Applications · Robotics
(1)
Capabilities
(1)
Generation
(1)
Learning Paradigms
(1)
Keywords
sparse reward
(2)
multilevel monte carlo
(2)
mixing time
(2)
global convergence
(2)
model-based reinforcement learning
(1)
sample complexity
(1)
motion planning
(1)
reinforcement learning from human feedback
(1)
policy gradient
(1)
nonstationarity
(1)
trajectory prediction
(1)
reward design
(1)
bayesian regret
(1)
human feedback
(1)
bilevel optimization
(1)
expectation maximization
(1)
convergence rate
(1)
information gain
(1)
asynchronous training
(1)
multi-agent reinforcement learning
(1)
Papers
Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization
ICML 2024
MaxMin-RLHF: Alignment with Diverse Human Preferences
ICML 2024
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback
ICLR 2024
PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling
ICML 2024
Position: On the Possibilities of AI-Generated Text Detection
ICML 2024
Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles
ICML 2024
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic
ICML 2023
Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning
CoRL 2023
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning
ICML 2023
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication
ICLR 2023
HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm
CoRL 2022