← Core AI
Artificial Intelligence › Core AI ›

Reinforcement Learning

767 directly classified papers

Papers per year

Papers

DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning NIPS 2022
Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning NIPS 2022
How to Reduce Action Space for Planning Domains? (Student Abstract) AAAI 2022
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL NIPS 2022
Reinforcement Learning Explainability via Model Transforms (Student Abstract) AAAI 2022
Revisiting the Roles of “Text” in Text Games EMNLP 2022
Teacher Forcing Recovers Reward Functions for Text Generation NIPS 2022
Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs NIPS 2022
Reinforcement Learning for Datacenter Congestion Control AAAI 2022
Human-AI Shared Control via Policy Dissection NIPS 2022
Meta-Reinforcement Learning with Self-Modifying Networks NIPS 2022
iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control AAAI 2022
Truly Deterministic Policy Optimization NIPS 2022
Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning NIPS 2022
Efficient Dialog Policy Learning by Reasoning with Contextual Knowledge AAAI 2022
HiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning AAAI 2022
Grounded Reinforcement Learning: Learning to Win the Game under Human Commands NIPS 2022
Constrained Update Projection Approach to Safe Policy Optimization NIPS 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL NIPS 2022
Natural Black-Box Adversarial Examples against Deep Reinforcement Learning AAAI 2022
Action-modulated midbrain dopamine activity arises from distributed control policies NIPS 2022
Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation AAAI 2022
Understanding the Evolution of Linear Regions in Deep Reinforcement Learning NIPS 2022
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency AAAI 2022
Reward-Weighted Regression Converges to a Global Optimum AAAI 2022