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Deep RL

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Papers

Integrating Neural Pathways for Learning in Deep Reinforcement Learning Models AAAI 2024
Text-Aware Diffusion for Policy Learning NIPS 2024
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning AAAI 2024
Relative Policy-Transition Optimization for Fast Policy Transfer AAAI 2024
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning AAAI 2024
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling NIPS 2024
Sample Complexity of Variance-Reduced Distributionally Robust Q-Learning JMLR 2024
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer AAAI 2024
Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learning NAACL 2024
Value-Distributional Model-Based Reinforcement Learning JMLR 2024
Goal-Conditioned On-Policy Reinforcement Learning NIPS 2024
What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction AAAI 2024
Learning to Control Camera Exposure via Reinforcement Learning CVPR 2024
An Analysis of Quantile Temporal-Difference Learning JMLR 2024
ReCoRe: Regularized Contrastive Representation Learning of World Model CVPR 2024
Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds JMLR 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NIPS 2024
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms AAAI 2024
Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing AAAI 2024
Model-Free Representation Learning and Exploration in Low-Rank MDPs JMLR 2024
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control JMLR 2024
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers NIPS 2024
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient NIPS 2024
MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery AAAI 2024
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning JMLR 2024