Multi-Agent Generative Adversarial Imitation Learning

Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon

Feb-12-2026, 10:47:50 GMT–Neural Information Processing Systems

If the reward function does not cover all important aspects of the task, the agent could easily learn undesirable behaviors [4].

artificial intelligence, machine learning, reinforcement learning, (15 more...)

Neural Information Processing Systems

Feb-12-2026, 10:47:50 GMT

Conferences PDF

Country:
- Asia > Middle East
  - Jordan (0.04)
- North America
  - Canada > Quebec
    - Montreal (0.04)
  - United States
    - California > Santa Clara County
      - Palo Alto (0.05)
    - Illinois > Cook County
      - Chicago (0.04)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning > Reinforcement Learning (1.00)
  - Representation & Reasoning > Agents (1.00)
  - Robots (0.97)