Policy Learning

Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards NeurIPS 2023 Constrained Policy Optimization for Controlled Self-Learning in Conversational AI Systems ACL 2023 Constrained Reinforcement Learning in Hard Exploration Problems AAAI 2023 Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning NeurIPS 2023 Continuous Versatile Jumping Using Learned Action Residuals L4DC 2023 Convex Reinforcement Learning in Finite Trials JMLR 2023 ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format EMNLP 2023 Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees AISTATS 2023 Correcting discount-factor mismatch in on-policy policy gradient methods ICML 2023 Creating Multi-Level Skill Hierarchies in Reinforcement Learning NeurIPS 2023 Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees NeurIPS 2023 Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback ICML 2023 Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum ICML 2023 Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization NeurIPS 2023 Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design NeurIPS 2023 Discovering Object-Centric Generalized Value Functions From Pixels ICML 2023 Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality ICLR 2023 Distributional Pareto-Optimal Multi-Objective Reinforcement Learning NeurIPS 2023 Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning NeurIPS 2023 Diversify \& Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement NeurIPS 2023 Diversify Question Generation with Retrieval-Augmented Style Transfer EMNLP 2023 Does Sparsity Help in Learning Misspecified Linear Bandits? ICML 2023 DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm ICML 2023 Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning JMLR 2023 Dueling RL: Reinforcement Learning with Trajectory Preferences AISTATS 2023