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Sarath Chandar — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Sarath Chandar
34
papers ·
362
citations ·
20
h-index
Centre Universitaire de Mila · Mila - Quebec Artificial Intelligence Institute · Polytechnique Montréal
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Most-cited papers
A Deep Reinforcement Learning Chatbot
2017 · 200 citations
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
2020 · 43 citations
A Deep Reinforcement Learning Chatbot (Short Version)
2018 · 14 citations
Language Expansion In Text-Based Games
2018 · 7 citations
Continuous Coordination As a Realistic Scenario for Lifelong Learning
2021 · 7 citations
Environments for Lifelong Reinforcement Learning
2018 · 6 citations
Maximum Reward Formulation In Reinforcement Learning
2020 · 6 citations
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning
2023 · 5 citations
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
2020 · 4 citations
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods
2022 · 4 citations
Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning
2023 · 1 citations
Toward Debugging Deep Reinforcement Learning Programs with RLExplorer
2024 · 1 citations
Shielded Controller Units for RL with Operational Constraints Applied to Remote Microgrids
2025
GRPO-$λ$: Credit Assignment improves LLM Reasoning
2025
The Markovian Thinker: Architecture-Agnostic Linear Scaling of Reasoning
2025
Top co-authors
Janarthanan Rajendran
· 8
Hadi Nekoei
· 5
Harm van Seijen
· 3
Mathieu Reymond
· 3
Yoshua Bengio
· 3
Aaron Courville
· 2
Akilesh Badrinaaraayanan
· 2
Alexandre de Brebisson
· 2
Alexandre Nguyen
· 2
Ali Rahimi-Kalahroudi
· 2
Chinnadhurai Sankar
· 2
Dendi Suhubdy
· 2
Topics
Model-Based RL
Value-Based
Policy Gradient
Game AI
Multi-Agent
RLHF & Alignment
Meta-RL
Exploration
Safe RL