Publications (31)
Decoupling Learning Rules from Representations
Philip S. Thomas, Christoph Dann, Emma Brunskill
Latent Contextual Bandits and their Application to Personalized Recommendations for New Users
Li Zhou, Emma Brunskill
Policy Certificates: Towards Accountable Reinforcement Learning
Christoph Dann, Lihong Li, Wei Wei +1
Regret Bounds for Reinforcement Learning with Policy Advice
Mohammad Gheshlaghi Azar, Alessandro Lazaric, Emma Brunskill
CORL: A Continuous-state Offset-dynamics Reinforcement Learner
Emma Brunskill, Bethany Leffler, Lihong Li +2
Sample Complexity of Multi-task Reinforcement Learning
Emma Brunskill, Lihong Li
Distilling Information from a Flood: A Possibility for the Use of Meta-Analysis and Systematic Review in Machine Learning Research
Peter Henderson, Emma Brunskill
On Ensuring that Intelligent Machines Are Well-Behaved
Philip S. Thomas, Bruno Castro da Silva, Andrew G. Barto +1
Sample Efficient Feature Selection for Factored MDPs
Zhaohan Daniel Guo, Emma Brunskill
Efficient Planning under Uncertainty with Macro-actions
Ruijie He, Emma Brunskill, Nicholas Roy
RAPID: A Reachable Anytime Planner for Imprecisely-sensed Domains
Emma Brunskill, Stuart Russell
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Christoph Dann, Tor Lattimore, Emma Brunskill
Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning
Christoph Dann, Emma Brunskill
When Simple Exploration is Sample Efficient: Identifying Sufficient Conditions for Random Exploration to Yield PAC RL Algorithms
Yao Liu, Emma Brunskill
Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation
Zhaohan Daniel Guo, Philip S. Thomas, Emma Brunskill
Policy Gradient Methods for Reinforcement Learning with Function Approximation and Action-Dependent Baselines
Philip S. Thomas, Emma Brunskill
Sample Efficient Policy Search for Optimal Stopping Domains
Karan Goel, Christoph Dann, Emma Brunskill
Importance Sampling with Unequal Support
Philip S. Thomas, Emma Brunskill
Separating value functions across time-scales
Joshua Romoff, Peter Henderson, Ahmed Touati +3
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning
Philip S. Thomas, Emma Brunskill
Incentive Decision Processes
Sashank J. Reddi, Emma Brunskill
PLOTS: Procedure Learning from Observations using Subtask Structure
Tong Mu, Karan Goel, Emma Brunskill
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning
Ramtin Keramati, Jay Whang, Patrick Cho +1
Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters
Aniruddh Raghu, Omer Gottesman, Yao Liu +4
Sequential Transfer in Multi-armed Bandit with Finite Set of Models
Mohammad Gheshlaghi Azar, Alessandro Lazaric, Emma Brunskill
Representation Balancing MDPs for Off-Policy Policy Evaluation
Yao Liu, Omer Gottesman, Aniruddh Raghu +4
The Online Coupon-Collector Problem and Its Application to Lifelong Reinforcement Learning
Emma Brunskill, Lihong Li
Directed Exploration for Reinforcement Learning
Zhaohan Daniel Guo, Emma Brunskill
Off-Policy Policy Gradient with State Distribution Correction
Yao Liu, Adith Swaminathan, Alekh Agarwal +1
A PAC RL Algorithm for Episodic POMDPs
Zhaohan Daniel Guo, Shayan Doroudi, Emma Brunskill
Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands
Thomas Kollar, Stefanie Tellex, Matthew Walter +8