Search Results for author:
Found 7 papers, 2 papers with code
Joint Attention for Multi-Agent Coordination and Social Learning
We then train agents to minimize the difference between the attention weights that they apply to the environment at each timestep, and the attention of other agents.
Mathematical Reasoning via Self-supervised Skip-tree Training
We examine whether self-supervised language modeling applied to mathematical formulas enables logical reasoning.
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous
We propose hierarchical predictive planning (HPP), a model-based reinforcement learning method for decentralized multiagent rendezvous.
Model-based Reinforcement Learning
reinforcement-learning
+1
Mathematical Reasoning in Latent Space
We design and conduct a simple experiment to study whether neural networks can perform several steps of approximate reasoning in a fixed dimensional latent space.
Modular Architecture for StarCraft II with Deep Reinforcement Learning
We present a novel modular architecture for StarCraft II AI.
ProMP: Proximal Meta-Policy Search
Credit assignment in Meta-reinforcement learning (Meta-RL) is still poorly understood.
Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation
Imitation learning is a powerful paradigm for robot skill acquisition.
