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Methodology
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Reinforcement Learning
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Methods
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Deep RL
3861 directly classified papers
Papers per year
2005: 1
2006: 9
2007: 14
2008: 15
2009: 9
2010: 21
2011: 27
2012: 32
2013: 21
2014: 17
2015: 10
2016: 33
2017: 102
2018: 222
2019: 399
2020: 450
2021: 533
2022: 478
2023: 532
2024: 513
2025: 326
2026: 97
Papers
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
NIPS 2024
Time-Constrained Robust MDPs
NIPS 2024
Solving Minimum-Cost Reach Avoid using Reinforcement Learning
NIPS 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs
NIPS 2024
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning
NIPS 2024
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
NIPS 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
NIPS 2024
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity
NIPS 2024
Settling the sample complexity of online reinforcement learning
COLT 2024
State Chrono Representation for Enhancing Generalization in Reinforcement Learning
NIPS 2024
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset
NIPS 2024
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search
NIPS 2024
When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback
NIPS 2024
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces
NIPS 2024
Risk-Aware Continuous Control with Neural Contextual Bandits
AAAI 2024
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations
NIPS 2024
Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces
NIPS 2024
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning
NIPS 2024
BertRLFuzzer: A BERT and Reinforcement Learning Based Fuzzer (Student Abstract)
AAAI 2024
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation
NIPS 2024
Learning to Assist Humans without Inferring Rewards
NIPS 2024
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf
NIPS 2024
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
NIPS 2024
Periodic agent-state based Q-learning for POMDPs
NIPS 2024
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning
NIPS 2024
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