Yash Chandak
23 papers · 2019–2024 · 7 venues · across top CS/AI venues
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reinforcement learning
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off-policy evaluation
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sequential decision making
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policy gradient
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representation learning
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action space
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doubly robust estimator
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markov decision process
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seldonian algorithm
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policy optimization
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counterfactual estimation
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contextual bandit
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non-stationary environment
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non-stationary mdp
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in-context learning
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Papers
A/B testing under Interference with Partial Network Information
AISTATS 2024
Adaptive Instrument Design for Indirect Experiments
ICLR 2024
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
EMNLP 2024
Data-Efficient Policy Evaluation Through Behavior Policy Search
JMLR 2024
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
NeurIPS 2024
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments
AISTATS 2023
Behavior Alignment via Reward Function Optimization
NeurIPS 2023
Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition
ICML 2023
Supervised Pretraining Can Learn In-Context Reinforcement Learning
NeurIPS 2023
Understanding Self-Predictive Learning for Reinforcement Learning
ICML 2023
Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits
NeurIPS 2022
Off-Policy Evaluation for Action-Dependent Non-stationary Environments
NeurIPS 2022
On Optimizing Interventions in Shared Autonomy
AAAI 2022
High Confidence Generalization for Reinforcement Learning
ICML 2021
High-Confidence Off-Policy (or Counterfactual) Variance Estimation
AAAI 2021
SOPE: Spectrum of Off-Policy Estimators
NeurIPS 2021
Universal Off-Policy Evaluation
NeurIPS 2021
Evaluating the Performance of Reinforcement Learning Algorithms
ICML 2020
Lifelong Learning with a Changing Action Set
AAAI 2020
Optimizing for the Future in Non-Stationary MDPs
ICML 2020
Reinforcement Learning When All Actions Are Not Always Available
AAAI 2020
Towards Safe Policy Improvement for Non-Stationary MDPs
NeurIPS 2020
Learning Action Representations for Reinforcement Learning
ICML 2019