148 results on '"Joseph J. Lim"'
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2. Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
3. Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions.
4. EXTRACT: Efficient Policy Learning by Extracting Transferrable Robot Skills from Offline Data.
5. Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance.
6. Skill-based Model-based Reinforcement Learning.
7. Cross-Domain Transfer via Semantic Skill Imitation.
8. FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation.
9. PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection.
10. SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling.
11. Hierarchical Neural Program Synthesis.
12. LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers.
13. Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing.
14. Generalizable Imitation Learning from Observation via Inferring Goal Proximity.
15. Learning to Synthesize Programs as Interpretable and Generalizable Policies.
16. Demonstration-Guided Reinforcement Learning with Learned Skills.
17. Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation.
18. Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization.
19. Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning.
20. IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks.
21. Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments.
22. Accelerating Reinforcement Learning with Learned Skill Priors.
23. Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning.
24. Generalization to New Actions in Reinforcement Learning.
25. Task-Induced Representation Learning.
26. Skill-based Meta-Reinforcement Learning.
27. Know Your Action Set: Learning Action Relations for Reinforcement Learning.
28. Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation.
29. To Follow or not to Follow: Selective Imitation Learning from Observations.
30. PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection.
31. Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding.
32. Learning to Coordinate Manipulation Skills via Skill Behavior Diversification.
33. Program Guided Agent.
34. Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills.
35. Demo2Vec: Reasoning Object Affordances From Online Videos.
36. Learning and Using the Arrow of Time.
37. Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence.
38. Neural Program Synthesis from Diverse Demonstration Videos.
39. Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets.
40. Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos.
41. Knowledge Acquisition for Visual Question Answering via Iterative Querying.
42. Target-driven visual navigation in indoor scenes using deep reinforcement learning.
43. Composing Complex Skills by Learning Transition Policies.
44. Scaling simulation-to-real transfer by learning a latent space of robot skills.
45. 3D Interpreter Networks for Viewer-Centered Wireframe Modeling.
46. Single Image 3D Interpreter Network.
47. Universal Agent for Disentangling Environments and Tasks.
48. KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction.
49. IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks.
50. Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning.
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