Robotics
2,420 papers
Papers per year
4
13
13
14
4
14
15
20
20
18
14
22
53
99
176
229
289
276
360
380
335
52
'5
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'15
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'25
Papers
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization
AAAI 2024
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition
NeurIPS 2024
Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL
NeurIPS 2024
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
ICML 2024
PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning
AAAI 2024
Parameterized fast and safe tracking (FaSTrack) using DeepReach
L4DC 2024
Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer
ECCV 2024
Pausing Policy Learning in Non-stationary Reinforcement Learning
ICML 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
NeurIPS 2024
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation
ICML 2024
Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments
NeurIPS 2024
PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling
ICML 2024
PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation
NeurIPS 2024
POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints
RSS 2024
Position: Automatic Environment Shaping is the Next Frontier in RL
ICML 2024
Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination
ICML 2024
Predicting Future Actions of Reinforcement Learning Agents
NeurIPS 2024
Predictive Linear Online Tracking for Unknown Targets
ICML 2024
Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation
NeurIPS 2024
Pretrained Optimization Model for Zero-Shot Black Box Optimization
NeurIPS 2024
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning
ICLR 2024
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences
CVPR 2024
Prompt-based Visual Alignment for Zero-shot Policy Transfer
ICML 2024
Proto-MPC: An encoder-prototype-decoder approach for quadrotor control in challenging winds
L4DC 2024
Provable local learning rule by expert aggregation for a Hawkes network
AISTATS 2024