Search Results for author:
Found 5 papers, 4 papers with code
Robotic Control via Embodied Chain-of-Thought Reasoning
Recent works on vision-language-action models (VLAs) have shown that the use of large, internet pre-trained vision-language models as the backbone of learned robot policies can substantially improve their robustness and generalization ability.
What Matters in Hierarchical Search for Combinatorial Reasoning Problems?
Efficiently tackling combinatorial reasoning problems, particularly the notorious NP-hard tasks, remains a significant challenge for AI research.
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
Complex reasoning problems contain states that vary in the computational cost required to determine a good action plan.
Off-Policy Correction For Multi-Agent Reinforcement Learning
The key advantage of our algorithm is its high scalability in a multi-worker setting.
Multi-agent Reinforcement Learning
reinforcement-learning
+3
Subgoal Search For Complex Reasoning Tasks
In this paper, we implement kSubS using a transformer-based subgoal module coupled with the classical best-first search framework.
