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Papers
Learning Fused State Representations for Control from Multi-View Observations
ICML 2025
Time-Aware World Model for Adaptive Prediction and Control
ICML 2025
When Maximum Entropy Misleads Policy Optimization
ICML 2025
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking
NeurIPS 2024
TorchRL: A data-driven decision-making library for PyTorch
ICLR 2024
Improving Syntactic Probing Correctness and Robustness with Control Tasks
ACL 2023
On the Sensitivity of Reward Inference to Misspecified Human Models
ICLR 2023
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation
AAAI 2022
A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits
ICML 2020
CLOUD: Contrastive Learning of Unsupervised Dynamics
CoRL 2020
Designing and Interpreting Probes with Control Tasks
EMNLP 2019
Time Limits in Reinforcement Learning
ICML 2018
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks
NeurIPS 2010