Methods

Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization ICML 2023 Efficiently Computing Nash Equilibria in Adversarial Team Markov Games ICLR 2023 Efficient Model-Free Exploration in Low-Rank MDPs NeurIPS 2023 Efficient Offline Policy Optimization with a Learned Model ICLR 2023 Efficient Online Reinforcement Learning with Offline Data ICML 2023 Efficient Planning in a Compact Latent Action Space ICLR 2023 Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning AISTATS 2023 Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric NeurIPS 2023 Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation ICML 2023 Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors RSS 2023 Efficient Reinforcement Learning Through Trajectory Generation L4DC 2023 Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations NeurIPS 2023 Efficient Symbolic Policy Learning with Differentiable Symbolic Expression NeurIPS 2023 ELDEN: Exploration via Local Dependencies NeurIPS 2023 Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback NeurIPS 2023 Embodied, Intelligent Communication for Multi-Agent Cooperation AAAI 2023 Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning ICML 2023 Emergent Agentic Transformer from Chain of Hindsight Experience ICML 2023 Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models CoRL 2023 End-to-End Deep Reinforcement Learning for Conversation Disentanglement AAAI 2023 End-to-End Entity Linking with Hierarchical Reinforcement Learning AAAI 2023 Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments ICML 2023 Enhanced Simultaneous Machine Translation with Word-level Policies EMNLP 2023 Enhancing Educational Dialogues: A Reinforcement Learning Approach for Generating AI Teacher Responses ACL 2023 Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback EMNLP 2023