Methods
8,258 papers (12 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
6
1
2
2
16
21
24
16
31
36
44
47
44
37
63
171
350
606
801
920
974
1,144
1,380
1,203
319
'5
'10
'15
'20
'25
Papers (including subtopics)
Robust Inverse Constrained Reinforcement Learning under Model Misspecification
ICML 2024
Robust Manipulation Primitive Learning via Domain Contraction
CoRL 2024
Robust Model Based Reinforcement Learning Using L_1 Adaptive Control
ICLR 2024
Robust Multi-Agent Reinforcement Learning for Autonomous Vehicle in Noisy Highway Environments
ACML 2024
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning
AAAI 2024
Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales
AAAI 2024
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards
AISTATS 2024
Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space
ICML 2024
Robust Policy Learning via Offline Skill Diffusion
AAAI 2024
Robust Reinforcement Learning with General Utility
NeurIPS 2024
Robust Visual Imitation Learning with Inverse Dynamics Representations
AAAI 2024
ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making
NeurIPS 2024
Roping in Uncertainty: Robustness and Regularization in Markov Games
ICML 2024
RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches
CoRL 2024
Run-Time Task Composition with Safety Semantics
ICML 2024
RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning
ICML 2024
S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic
ICLR 2024
SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward
IJCAI 2024
Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage
NeurIPS 2024
Safe and Interpretable Estimation of Optimal Treatment Regimes
AISTATS 2024
SafeDreamer: Safe Reinforcement Learning with World Models
ICLR 2024
Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis
AAAI 2024
Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation
ICML 2024
Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration
AAAI 2024
Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control
IJCAI 2024