Methods

A Robust Test for the Stationarity Assumption in Sequential Decision Making ICML 2023 ASAP: Attention-Based State Space Abstraction for Policy Summarization ACML 2023 A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories NeurIPS 2023 A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization NeurIPS 2023 Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions UAI 2023 A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs ICML 2023 Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments AISTATS 2023 A Tale of Sampling and Estimation in Discounted Reinforcement Learning AISTATS 2023 A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes NeurIPS 2023 A Tighter Problem-Dependent Regret Bound for Risk-Sensitive Reinforcement Learning AISTATS 2023 A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning NeurIPS 2023 A trajectory is worth three sentences: multimodal transformer for offline reinforcement learning UAI 2023 Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability ICML 2023 Augmented Proximal Policy Optimization for Safe Reinforcement Learning AAAI 2023 A Unified Algorithm for Stochastic Path Problems ALT 2023 A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process NeurIPS 2023 A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games ICLR 2023 A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning JMLR 2023 Auto-bidding with Budget and ROI Constrained Buyers IJCAI 2023 AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning AAAI 2023 Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning NeurIPS 2023 Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning ICML 2023 Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis EMNLP 2023 Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms IJCAI 2023 Avoiding Lingering in Learning Active Recognition by Adversarial Disturbance WACV 2023