Deep RL
4,525 papers
Papers per year
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17
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103
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498
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Papers
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs
NeurIPS 2024
NeoRL: Efficient Exploration for Nonepisodic RL
NeurIPS 2024
NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation
NeurIPS 2024
Neural-Kernel Conditional Mean Embeddings
ICML 2024
NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching
AAAI 2024
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset
NeurIPS 2024
No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning
AAAI 2024
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO
NeurIPS 2024
Normalization and effective learning rates in reinforcement learning
NeurIPS 2024
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
AAAI 2024
Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality
NeurIPS 2024
OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning
AAAI 2024
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update
ICLR 2024
ODIN: Disentangled Reward Mitigates Hacking in RLHF
ICML 2024
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
NeurIPS 2024
Offline Multitask Representation Learning for Reinforcement Learning
NeurIPS 2024
Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression
NeurIPS 2024
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning
JMLR 2024
OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning
CoRL 2024
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion
CoRL 2024
On learning history-based policies for controlling Markov decision processes
AISTATS 2024
Online Control with Adversarial Disturbance for Continuous-time Linear Systems
NeurIPS 2024
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model
NeurIPS 2024
Online Learning with Off-Policy Feedback in Adversarial MDPs
IJCAI 2024
Online Matching with Stochastic Rewards: Provable Better Bound via Adversarial Reinforcement Learning
ICML 2024