Towards Learning Multi-agent Negotiations via Self-Play

no code implementations • 28 Jan 2020 • Yichuan Charlie Tang

Making sophisticated, robust, and safe sequential decisions is at the heart of intelligent systems.

Relational Mimic for Visual Adversarial Imitation Learning

no code implementations • 18 Dec 2019 • Lionel Blondé, Yichuan Charlie Tang, Jian Zhang, Russ Webb

In this work, we introduce a new method for imitation learning from video demonstrations.

Imitation Learning Relational Reasoning

Worst Cases Policy Gradients

no code implementations • 9 Nov 2019 • Yichuan Charlie Tang, Jian Zhang, Ruslan Salakhutdinov

Recent advances in deep reinforcement learning have demonstrated the capability of learning complex control policies from many types of environments.

reinforcement-learning Reinforcement Learning (RL)

Multiple Futures Prediction

1 code implementation • 4 Nov 2019 • Yichuan Charlie Tang, Ruslan Salakhutdinov

Towards these goals, we introduce a probabilistic framework that efficiently learns latent variables to jointly model the multi-step future motions of agents in a scene.

motion prediction