Methods
8,258 papers (12 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
6
1
2
2
16
21
24
16
31
36
44
47
44
37
63
171
350
606
801
920
974
1,144
1,380
1,203
319
'5
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Papers (including subtopics)
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning
ICLR 2024
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning
IJCAI 2024
Pure-Past Action Masking
AAAI 2024
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making
ICML 2024
PUZZLES: A Benchmark for Neural Algorithmic Reasoning
NeurIPS 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
NeurIPS 2024
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers
NeurIPS 2024
Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
ICML 2024
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent
ICML 2024
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics
ICML 2024
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
ICML 2024
Quality-Diversity with Limited Resources
ICML 2024
Query-Policy Misalignment in Preference-Based Reinforcement Learning
ICLR 2024
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control
NeurIPS 2024
Q-value Regularized Transformer for Offline Reinforcement Learning
ICML 2024
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes
RSS 2024
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces
NeurIPS 2024
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation
NeurIPS 2024
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning
NeurIPS 2024
Random Latent Exploration for Deep Reinforcement Learning
ICML 2024
RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning
NeurIPS 2024
Rate-Optimal Policy Optimization for Linear Markov Decision Processes
ICML 2024
Rating-Based Reinforcement Learning
AAAI 2024
Real-Time Recurrent Learning using Trace Units in Reinforcement Learning
NeurIPS 2024
Real-world fluid directed rigid body control via deep reinforcement learning
L4DC 2024