Methods

Hybrid Policy Optimization from Imperfect Demonstrations NeurIPS 2023 Hyperbolic Deep Reinforcement Learning ICLR 2023 Hyperbolic VAE via Latent Gaussian Distributions NeurIPS 2023 Hyper-Decision Transformer for Efficient Online Policy Adaptation ICLR 2023 Hyperparameters in Reinforcement Learning and How To Tune Them ICML 2023 Hyperparameter Tuning of an Off-Policy Reinforcement Learning Algorithm for H∞ Tracking Control L4DC 2023 Identifiability and Generalizability in Constrained Inverse Reinforcement Learning ICML 2023 Identification of Blackwell Optimal Policies for Deterministic MDPs AISTATS 2023 IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors CoRL 2023 Imitating Graph-Based Planning with Goal-Conditioned Policies ICLR 2023 Imitation Learning As State Matching via Differentiable Physics CVPR 2023 Imitation Learning from Vague Feedback NeurIPS 2023 IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL NeurIPS 2023 Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning NeurIPS 2023 Impossibly Good Experts and How to Follow Them ICLR 2023 Improvable Gap Balancing for Multi-Task Learning UAI 2023 Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates NeurIPS 2023 Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation ICML 2023 Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning AISTATS 2023 Improving Deep Policy Gradients with Value Function Search ICLR 2023 Improving Dialogue Discourse Parsing via Reply-to Structures of Addressee Recognition EMNLP 2023 Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration AAAI 2023 Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning IJCAI 2023 Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning EMNLP 2023 Information Design in Multi-Agent Reinforcement Learning NeurIPS 2023