Capabilities
2,075 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
6
18
22
22
10
20
18
21
30
16
16
23
72
87
119
104
123
94
100
439
550
165
'5
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Papers (including subtopics)
PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios
CVPR 2024
Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer
ECCV 2024
PcLast: Discovering Plannable Continuous Latent States
ICML 2024
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation
ICML 2024
Physics-Aware Hand-Object Interaction Denoising
CVPR 2024
PianoMime: Learning a Generalist, Dexterous Piano Player from Internet Demonstrations
CoRL 2024
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer
ICML 2024
Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners
ICML 2024
Play to the Score: Stage-Guided Dynamic Multi-Sensory Fusion for Robotic Manipulation
CoRL 2024
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning
NeurIPS 2024
PointPatchRL - Masked Reconstruction Improves Reinforcement Learning on Point Clouds
CoRL 2024
Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation
CoRL 2024
PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators
CoRL 2024
Position: Automatic Environment Shaping is the Next Frontier in RL
ICML 2024
Position: Do Not Explain Vision Models Without Context
ICML 2024
Position: Scaling Simulation is Neither Necessary Nor Sufficient for In-the-Wild Robot Manipulation
ICML 2024
Position: Video as the New Language for Real-World Decision Making
ICML 2024
Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation
NeurIPS 2024
Potential Based Diffusion Motion Planning
ICML 2024
Predicting 3D forearm fracture angle from biplanar Xray images with rotational bone pose estimation
MIDL 2024
Pre-emptive Action Revision by Environmental Feedback for Embodied Instruction Following Agents
CoRL 2024
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
ICML 2024
PressureVision++: Estimating Fingertip Pressure From Diverse RGB Images
WACV 2024
Pre-trained Visual Dynamics Representations for Efficient Policy Learning
ECCV 2024
PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control
ICML 2024