Safe and Fair Reinforcement Learning

October 3, 2019
Philip Thomas | UMass Amherst
Reinforcement Learning Day 2019

Reinforcement Learning Day 2019:
Safe and Fair Reinforcement Learning

Research Area
- Artificial intelligence
Research Lab
- Microsoft Research Lab - New York City
Group
- Reinforcement Learning
Event
- Reinforcement Learning Day 2019

Watch Next

Agent Lightning: One learning system that makes all agents evolve
March 3, 2026
Anson Ho,

Luna K. Qiu
Pushing boundaries of complex reasoning in small language models
September 24, 2025
Maya Murad,

Mojan Javaheripi
Computational models for brain science
July 24, 2025
Brokoslaw Laschowski
Deep learning for DFT
June 18, 2025
Agentic AI Ecosystems: Navigating Cultural-Awareness, Biases and Misinformation in Multi-agent and Human-agent Interactions
May 28, 2025
Angana Borah
Fireside chat with Jeana Jorgensen and Sarah Bird
April 28, 2025
Dana Bazazeh,

Sarah Bird,

Jeana Jorgensen
Learning to Play, Imitate and Collaborate with Pesky Humans
March 7, 2025
Sam Devlin
Using LLMs for safe low-level programming
February 25, 2025
Aseem Rastogi,

Pantazis Deligiannis
AI for Precision Health: Learning the language of nature and patients
February 25, 2025
Hoifung Poon,

Ava Amini,

Lili Qiu

, et. al.
AI Case Studies for Natural Science Research with Bonnie Kruft
April 16, 2024
Bonnie Kruft