VIREL: A Variational Inference Framework for Reinforcement Learning
Matthew Fellows, Anuj Mahajan, Tim G. J. Rudner, Shimon Whiteson
–Neural Information Processing Systems
Applying probabilistic models to reinforcement learning (RL) enables the uses of powerful optimisation tools such as variational inference in RL.
Neural Information Processing Systems
Oct-2-2025, 18:57:10 GMT
- Country:
- Asia
- China (0.04)
- Middle East > Jordan (0.04)
- Europe
- Sweden > Stockholm
- Stockholm (0.04)
- United Kingdom
- England
- Cambridgeshire > Cambridge (0.04)
- Oxfordshire > Oxford (0.04)
- Scotland > City of Edinburgh
- Edinburgh (0.04)
- England
- Sweden > Stockholm
- North America
- Canada (0.04)
- United States
- California
- Los Angeles County > Long Beach (0.04)
- San Francisco County > San Francisco (0.14)
- Massachusetts > Middlesex County
- Cambridge (0.14)
- New Jersey
- Hudson County > Secaucus (0.04)
- Mercer County > Princeton (0.04)
- Pennsylvania > Allegheny County
- Pittsburgh (0.04)
- California
- Oceania > Australia
- New South Wales > Sydney (0.04)
- Asia
- Industry:
- Education (0.46)
- Technology: