← Methods
Reinforcement Learning › Methods ›

Deep RL

3861 directly classified papers

Papers per year

Papers

Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search NIPS 2024
Learning World Models for Unconstrained Goal Navigation NIPS 2024
RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning NIPS 2024
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning NIPS 2024
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning NIPS 2024
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NIPS 2024
Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection NIPS 2024
Cloud-LoRa: Enabling Cloud Radio Access LoRa Networks Using Reinforcement Learning Based Bandwidth-Adaptive Compression NSDI 2024
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NIPS 2024
OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy NSDI 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NIPS 2024
REBEL: Reinforcement Learning via Regressing Relative Rewards NIPS 2024
RePALM: Popular Quote Tweet Generation via Auto-Response Augmentation ACL 2024
Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs NIPS 2024
ALaRM: Align Language Models via Hierarchical Rewards Modeling ACL 2024
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NIPS 2024
Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation NIPS 2024
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations NIPS 2024
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NIPS 2024
Statistical Efficiency of Distributional Temporal Difference Learning NIPS 2024
A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning NIPS 2024
Speculative Monte-Carlo Tree Search NIPS 2024
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning NIPS 2024
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NIPS 2024
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control NIPS 2024