← Methods
Reinforcement Learning › Methods ›

Deep RL

3861 directly classified papers

Papers per year

Papers

Optimistic PAC Reinforcement Learning: the Instance-Dependent View ALT 2023
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing CORL 2023
Precise Robotic Needle-Threading with Tactile Perception and Reinforcement Learning CORL 2023
Equivariant Reinforcement Learning under Partial Observability CORL 2023
Improvable Gap Balancing for Multi-Task Learning UAI 2023
Loosely consistent emphatic temporal-difference learning UAI 2023
Provably efficient representation selection in Low-rank Markov Decision Processes: from online to offline RL UAI 2023
Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning UAI 2023
Planning Multiple Epidemic Interventions with Reinforcement Learning IJCAI 2023
State-wise Safe Reinforcement Learning: A Survey IJCAI 2023
A Meta-Reinforcement Learning Algorithm for Causal Discovery CLEAR 2023
Learning to Identify Critical States for Reinforcement Learning from Videos ICCV 2023
AlphaD3M: An Open-Source AutoML Library for Multiple ML Tasks AUTOML 2023
Approximate Thompson Sampling via Epistemic Neural Networks UAI 2023
SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs UAI 2023
Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models CORL 2023
Curiosity-Driven Learning of Joint Locomotion and Manipulation Tasks CORL 2023
CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller CORL 2023
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning CORL 2023
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer CORL 2023
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions CORL 2023
An effective negotiating agent framework based on deep offline reinforcement learning UAI 2023
Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning UAI 2023
Posterior sampling-based online learning for the stochastic shortest path model UAI 2023
Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension UAI 2023