Policy Learning

A Unified Algorithm for Stochastic Path Problems ALT 2023 AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning AAAI 2023 Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis EMNLP 2023 Avoiding Lingering in Learning Active Recognition by Adversarial Disturbance WACV 2023 Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space NeurIPS 2023 Bayesian Risk-Averse Q-Learning with Streaming Observations NeurIPS 2023 BC-IRL: Learning Generalizable Reward Functions from Demonstrations ICLR 2023 Behavior Alignment via Reward Function Optimization NeurIPS 2023 Behavior Proximal Policy Optimization ICLR 2023 Best of Both Worlds Policy Optimization ICML 2023 Better Training of GFlowNets with Local Credit and Incomplete Trajectories ICML 2023 Beyond Reward: Offline Preference-guided Policy Optimization ICML 2023 Boosting Multi-agent Reinforcement Learning via Contextual Prompting JMLR 2023 Boosting Offline Reinforcement Learning with Action Preference Query ICML 2023 Bounding the optimal value function in compositional reinforcement learning UAI 2023 Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback NeurIPS 2023 Building a Subspace of Policies for Scalable Continual Learning ICLR 2023 Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning EMNLP 2023 CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller CoRL 2023 Combinatorial Optimization with Policy Adaptation using Latent Space Search NeurIPS 2023 Complexity of Derivative-Free Policy Optimization for Structured H_∞ Control NeurIPS 2023 Composing Efficient, Robust Tests for Policy Selection UAI 2023 Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees NeurIPS 2023 Conditional abstraction trees for sample-efficient reinforcement learning UAI 2023 Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning UAI 2023