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Deep Learning
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Reinforcement Learning
1263 directly classified papers
Papers per year
2006: 1
2007: 2
2008: 3
2009: 2
2010: 1
2011: 2
2012: 3
2013: 2
2014: 3
2015: 2
2016: 8
2017: 44
2018: 95
2019: 134
2020: 123
2021: 131
2022: 143
2023: 127
2024: 194
2025: 240
2026: 3
Papers
RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking
AAAI 2023
Hybrid Learning with New Value Function for the Maximum Common Induced Subgraph Problem
AAAI 2023
LapGym - An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery
JMLR 2023
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
ACL 2023
PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction
AAAI 2023
SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation
AAAI 2023
Simultaneously Updating All Persistence Values in Reinforcement Learning
AAAI 2023
Critic-Guided Decoding for Controlled Text Generation
ACL 2023
State-Conditioned Adversarial Subgoal Generation
AAAI 2023
DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching
AAAI 2023
Siamese-Discriminant Deep Reinforcement Learning for Solving Jigsaw Puzzles with Large Eroded Gaps
AAAI 2023
Augmented Proximal Policy Optimization for Safe Reinforcement Learning
AAAI 2023
Policy Adaptation From Foundation Model Feedback
CVPR 2023
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning
NIPS 2023
Sequential Voting With Relational Box Fields for Active Object Detection
CVPR 2022
Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture
CVPR 2022
Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents
AAAI 2022
MDPGT: Momentum-Based Decentralized Policy Gradient Tracking
AAAI 2022
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning
AAAI 2022
Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations
AAAI 2022
Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs
AAAI 2022
Invariant Action Effect Model for Reinforcement Learning
AAAI 2022
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning
AAAI 2022
ValueNet: A New Dataset for Human Value Driven Dialogue System
AAAI 2022
State Deviation Correction for Offline Reinforcement Learning
AAAI 2022
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