Methods

Efficient local planning with linear function approximation ALT 2022 Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation NeurIPS 2022 Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation ICML 2022 Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach ICML 2022 Efficient Reinforcement Learning with Prior Causal Knowledge CLeaR 2022 Efficient Risk-Averse Reinforcement Learning NeurIPS 2022 Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning NeurIPS 2022 Efficient (Soft) Q-Learning for Text Generation with Limited Good Data EMNLP 2022 Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning ACL 2022 ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward NeurIPS 2022 E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance NeurIPS 2022 EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles AAAI 2022 End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps CVPR 2022 Enforcement Heuristics for Argumentation with Deep Reinforcement Learning AAAI 2022 Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments NeurIPS 2022 Enhancing Safe Exploration Using Safety State Augmentation NeurIPS 2022 Episodic Policy Gradient Training AAAI 2022 EqR: Equivariant Representations for Data-Efficient Reinforcement Learning ICML 2022 Evaluating Model-Based Planning and Planner Amortization for Continuous Control ICLR 2022 Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex NeurIPS 2022 Evolving Curricula with Regret-Based Environment Design ICML 2022 Experience Replay with Likelihood-free Importance Weights L4DC 2022 Explainability Via Causal Self-Talk NeurIPS 2022 Explicable Policy Search NeurIPS 2022 Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping NeurIPS 2022