Search Results for author:
Found 3 papers, 1 papers with code
Merging Decision Transformers: Weight Averaging for Forming Multi-Task Policies
Recent work has shown the promise of creating generalist, transformer-based, models for language, vision, and sequential decision-making problems.
Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications
Synthesizing planning and control policies in robotics is a fundamental task, further complicated by factors such as complex logic specifications and high-dimensional robot dynamics.
Hierarchical Reinforcement Learning
reinforcement-learning
+2
Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence Modeling
We show that Control Transformer can successfully navigate through mazes and transfer to unknown environments.
