Picture for Yash Shukla

Yash Shukla

Autonomous Robotic Assembly: From Part Singulation to Precise Assembly

Add code
Jun 11, 2024
Viaarxiv icon

Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents

Add code
Feb 08, 2024
Viaarxiv icon

LgTS: Dynamic Task Sampling using LLM-generated sub-goals for Reinforcement Learning Agents

Add code
Oct 14, 2023
Viaarxiv icon

A Framework for Few-Shot Policy Transfer through Observation Mapping and Behavior Cloning

Add code
Oct 13, 2023
Viaarxiv icon

Automaton-Guided Curriculum Generation for Reinforcement Learning Agents

Add code
Apr 11, 2023
Viaarxiv icon

RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments

Add code
Jun 24, 2022
Figure 1 for RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments
Figure 2 for RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments
Figure 3 for RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments
Figure 4 for RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments
Viaarxiv icon

ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments

Add code
Apr 11, 2022
Figure 1 for ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments
Figure 2 for ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments
Figure 3 for ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments
Figure 4 for ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments
Viaarxiv icon