Methods

A general class of surrogate functions for stable and efficient reinforcement learning AISTATS 2022 A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions AAAI 2022 A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning JMLR 2022 A general sample complexity analysis of vanilla policy gradient AISTATS 2022 A Generative User Simulator with GPT-based Architecture and Goal State Tracking for Reinforced Multi-Domain Dialog Systems EMNLP 2022 A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning AISTATS 2022 A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines ICML 2022 AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network ACML 2022 Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution ICML 2022 ALMA: Hierarchical Learning for Composite Multi-Agent Tasks NeurIPS 2022 Almost Optimal Algorithms for Two-player Zero-Sum Linear Mixture Markov Games ALT 2022 AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning AAAI 2022 AlphaZero-based Proof Cost Network to Aid Game Solving ICLR 2022 A Mean-Field Game Approach to Cloud Resource Management with Function Approximation NeurIPS 2022 A Mixture Of Surprises for Unsupervised Reinforcement Learning NeurIPS 2022 A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning AAAI 2022 A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization ACL 2022 An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context NeurIPS 2022 An Alternate Policy Gradient Estimator for Softmax Policies AISTATS 2022 Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation AISTATS 2022 Analysis of Stochastic Processes through Replay Buffers ICML 2022 An Analytical Update Rule for General Policy Optimization ICML 2022 Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning NeurIPS 2022 A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP NeurIPS 2022 An Experimental Design Perspective on Model-Based Reinforcement Learning ICLR 2022