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Deep RL

3861 directly classified papers

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Papers

A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning 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
MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components AAAI 2024
Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection NIPS 2024
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NIPS 2024
Learning World Models for Unconstrained Goal Navigation NIPS 2024
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning NIPS 2024
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning NIPS 2024
Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation NIPS 2024
Recent Advancements in Inverse Reinforcement Learning AAAI 2024
P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL AAAI 2024
ReFT: Reasoning with Reinforced Fine-Tuning ACL 2024
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving CVPR 2024
Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning CVPR 2024
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL NIPS 2024
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning NIPS 2024
RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning NIPS 2024
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients AISTATS 2024
Provable Partially Observable Reinforcement Learning with Privileged Information NIPS 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning NIPS 2024
Reflect-RL: Two-Player Online RL Fine-Tuning for LMs ACL 2024
Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation ACL 2024
Reinforcement Learning with Lookahead Information NIPS 2024
Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration NIPS 2024