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Deep RL

3861 directly classified papers

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Papers

When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL NIPS 2024
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NIPS 2024
Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning NIPS 2024
Distributional Reinforcement Learning with Regularized Wasserstein Loss NIPS 2024
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NIPS 2024
VLMPC: Vision-Language Model Predictive Control for Robotic Manipulation RSS 2024
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning NIPS 2024
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning NIPS 2024
Statistical Efficiency of Distributional Temporal Difference Learning NIPS 2024
Robust Reinforcement Learning with General Utility NIPS 2024
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning NIPS 2024
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NIPS 2024
Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms NIPS 2024
Diffusion for World Modeling: Visual Details Matter in Atari NIPS 2024
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control NIPS 2024
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers NIPS 2024
REBEL: Reinforcement Learning via Regressing Relative Rewards NIPS 2024
SPO: Sequential Monte Carlo Policy Optimisation NIPS 2024
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation NIPS 2024
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games NIPS 2024
Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding SEMEVAL 2024
Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations AAAI 2024
Learning to Control Camera Exposure via Reinforcement Learning CVPR 2024
A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning NIPS 2024
ReCoRe: Regularized Contrastive Representation Learning of World Model CVPR 2024