Deep RL
4,525 papers
Papers per year
1
9
14
15
9
21
27
32
21
17
11
33
103
241
418
498
571
533
585
678
507
181
'5
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'25
Papers
Language Model Adaption for Reinforcement Learning with Natural Language Action Space
ACL 2024
Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents
IJCAI 2024
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning
NeurIPS 2024
Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning
NeurIPS 2024
Learning and deploying robust locomotion policies with minimal dynamics randomization
L4DC 2024
Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game
ACL 2024
Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning
ICML 2024
Learning Discrete-Time Major-Minor Mean Field Games
AAAI 2024
Learning Diverse Risk Preferences in Population-Based Self-Play
AAAI 2024
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach
JMLR 2024
Learning Embeddings for Sequential Tasks Using Population of Agents
IJCAI 2024
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning
AAAI 2024
Learning Generalizable and Composable Abstractions for Transfer in Reinforcement Learning
AAAI 2024
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient
NeurIPS 2024
Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization
AISTATS 2024
Learning Successor Features the Simple Way
NeurIPS 2024
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
ICML 2024
Learning the Target Network in Function Space
ICML 2024
Learning to Act without Actions
ICLR 2024
Learning to Assist Humans without Inferring Rewards
NeurIPS 2024
Learning to Control Camera Exposure via Reinforcement Learning
CVPR 2024
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf
NeurIPS 2024
Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning
CoRL 2024
Learning to Retrieve Iteratively for In-Context Learning
EMNLP 2024
Learning to Select Views for Efficient Multi-View Understanding
CVPR 2024