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Deep RL

3861 directly classified papers

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Papers

Vertical Symbolic Regression via Deep Policy Gradient IJCAI 2024
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces AISTATS 2024
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers NIPS 2024
Linear Bellman Completeness Suffices for Efficient Online Reinforcement Learning with Few Actions COLT 2024
FactorSim: Generative Simulation via Factorized Representation NIPS 2024
Rich Human Feedback for Text-to-Image Generation CVPR 2024
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning EACL 2024
A Deep Reinforcement Learning Approach to Balance Viewport Prediction and Video Transmission in 360° Video Streaming IJCAI 2024
Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game ACL 2024
Safety filters for black-box dynamical systems by learning discriminating hyperplanes L4DC 2024
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach NIPS 2024
CACTO-SL: Using Sobolev learning to improve continuous actor-critic with trajectory optimization L4DC 2024
CoVO-MPC: Theoretical analysis of sampling-based MPC and optimal covariance design L4DC 2024
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration NIPS 2024
State-wise safe reinforcement learning with pixel observations L4DC 2024
Robust exploration with adversary via Langevin Monte Carlo L4DC 2024
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model NIPS 2024
Generalized constraint for probabilistic safe reinforcement learning L4DC 2024
The surprising efficiency of temporal difference learning for rare event prediction NIPS 2024
PDE control gym: A benchmark for data-driven boundary control of partial differential equations L4DC 2024
Synthesizing Programmatic Policy for Generalization within Task Domain IJCAI 2024
Reinforcement Learning from Diverse Human Preferences IJCAI 2024
Pointwise-in-time diagnostics for reinforcement learning during training and runtime L4DC 2024
Balancing Context Length and Mixing Times for Reinforcement Learning at Scale NIPS 2024
Robust cooperative multi-agent reinforcement learning: A mean-field type game perspective L4DC 2024