Co-occurring keywords · papers mentioning both
Papers
Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning
ICLR 2025
Toward Optimal LLM Alignments Using Two-Player Games
EMNLP 2025
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts
ICLR 2023
Composing Efficient, Robust Tests for Policy Selection
UAI 2023
Online Learning in Stackelberg Games with an Omniscient Follower
ICML 2023
Online Learning under Adversarial Nonlinear Constraints
NeurIPS 2023
Provable Reset-free Reinforcement Learning by No-Regret Reduction
ICML 2023
Completeness and Diversity in Depth-First Proof-Number Search with Applications to Retrosynthesis
IJCAI 2022
Gap-Dependent Bounds for Two-Player Markov Games
AISTATS 2022
Adversarial Policy Learning in Two-player Competitive Games
ICML 2021
Best-Effort Synthesis: Doing Your Best Is Not Harder Than Giving Up
IJCAI 2021
Discretization Drift in Two-Player Games
ICML 2021
Formalizing the Generalization-Forgetting Trade-off in Continual Learning
NeurIPS 2021
Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity
AISTATS 2020
Planning in entropy-regularized Markov decision processes and games
NeurIPS 2019
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints
ICML 2019
Two-Player Games for Efficient Non-Convex Constrained Optimization
ALT 2019
Balancing Two-Player Stochastic Games with Soft Q-Learning
IJCAI 2018
The Numerics of GANs
NeurIPS 2017
On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games
AISTATS 2016
Online Optimization : Competing with Dynamic Comparators
AISTATS 2015
Blackwell Approachability and No-Regret Learning are Equivalent
COLT 2011