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Reinforcement Learning
767 directly classified papers
Papers per year
2006: 1
2007: 6
2008: 3
2009: 2
2010: 4
2011: 3
2012: 8
2013: 3
2014: 4
2016: 4
2017: 21
2018: 48
2019: 75
2020: 73
2021: 86
2022: 107
2023: 116
2024: 127
2025: 76
Papers
Virtual Action Actor-Critic Framework for Exploration (Student Abstract)
AAAI 2024
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning
NIPS 2024
Navigating Uncertainty in Epidemic Contexts with Reinforcement Learning
AAAI 2024
User Simulator Assisted Open-ended Conversational Recommendation System
ACL 2023
Self-Supervised Behavior Cloned Transformers are Path Crawlers for Text Games
EMNLP 2023
Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning
EMNLP 2023
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks
NIPS 2023
State Regularized Policy Optimization on Data with Dynamics Shift
NIPS 2023
Generative Decision Making Under Uncertainty
AAAI 2023
STL-Based Synthesis of Feedback Controllers Using Reinforcement Learning
AAAI 2023
A Risk-Sensitive Approach to Policy Optimization
AAAI 2023
AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning
AAAI 2023
SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control
AAAI 2023
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL
NIPS 2023
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration
NIPS 2023
Correct-by-Construction Reinforcement Learning of Cardiac Pacemakers from Duration Calculus Requirements
AAAI 2023
PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks
AAAI 2023
Safe Policy Improvement for POMDPs via Finite-State Controllers
AAAI 2023
Adaptive Ordered Information Extraction with Deep Reinforcement Learning
ACL 2023
Hierarchical Mean-Field Deep Reinforcement Learning for Large-Scale Multiagent Systems
AAAI 2023
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
AAAI 2023
Enhancing Educational Dialogues: A Reinforcement Learning Approach for Generating AI Teacher Responses
ACL 2023
DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching
AAAI 2023
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning
AAAI 2023
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient
AAAI 2023
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