Prof Natasha Jaques Multi Agent

Media Summary: Fifth lecture for CSE 599J on Social Reinforcement Learning: In the inaugural episode of the Allen School's “Faculty in Focus” series, Assistant A talk I gave on May 9th about our recent paper, Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer ...

Prof Natasha Jaques Multi Agent - Detailed Analysis & Overview

Fifth lecture for CSE 599J on Social Reinforcement Learning: In the inaugural episode of the Allen School's “Faculty in Focus” series, Assistant A talk I gave on May 9th about our recent paper, Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer ... Fourth lecture for CSE 599J on Social Reinforcement Learning: Multi-agent DQN training step 0 trajectory video This lecture was delivered at the 2023 Cooperative AI Summer School. For more information, please visit ...

Multi-agent DQN training step 90000 trajectory video Social learning helps humans and animals rapidly adapt to new circumstances, coordinate with others, and drives the emergence ... Lecture on reinforcement learning (RL) fine-tuning of large language models (LLMs). Even though we are in the RL era for ...

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Prof. Natasha Jaques: Multi-agent Reinforcement Learning (MARL) for LLMs

5 - Deep Multi agent RL

Natasha Jaques - Social Reinforcement Learning - IPAM at UCLA

Natasha Jaques - Multi-agent RL for Provably Robust LLM Safety [Alignment Workshop]

[Audio Descriptions] Faculty In Focus: Natasha Jaques

Self Play for Safety - Online Multi-Agent Adversarial Training for Provably Robust LLMs

4 - Learning from humans beyond LLMs

Multi-agent DQN training step 0 trajectory video

RLHF: How to Learn from Human Feedback with Reinforcement Learning

Multi-agent DQN training step 90000 trajectory video

Social Reinforcement Learning talk at RLDM

MIA: Natasha Jaques, Mechanisms for generalized learning; Susan Murphy, Personalized HeartSteps

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Prof. Natasha Jaques: Multi-agent Reinforcement Learning (MARL) for LLMs

Prof. Natasha Jaques: Multi-agent Reinforcement Learning (MARL) for LLMs

Talk Title:

5 - Deep Multi agent RL

5 - Deep Multi agent RL

Fifth lecture for CSE 599J on Social Reinforcement Learning: https://courses.cs.washington.edu/courses/cse599j1/25au/.

Natasha Jaques - Social Reinforcement Learning - IPAM at UCLA

Natasha Jaques - Social Reinforcement Learning - IPAM at UCLA

Recorded 19 February 2022.

Natasha Jaques - Multi-agent RL for Provably Robust LLM Safety [Alignment Workshop]

Natasha Jaques - Multi-agent RL for Provably Robust LLM Safety [Alignment Workshop]

Natasha Jaques

[Audio Descriptions] Faculty In Focus: Natasha Jaques

[Audio Descriptions] Faculty In Focus: Natasha Jaques

In the inaugural episode of the Allen School's “Faculty in Focus” series, Assistant

Self Play for Safety - Online Multi-Agent Adversarial Training for Provably Robust LLMs

Self Play for Safety - Online Multi-Agent Adversarial Training for Provably Robust LLMs

A talk I gave on May 9th about our recent paper, Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer ...

4 - Learning from humans beyond LLMs

4 - Learning from humans beyond LLMs

Fourth lecture for CSE 599J on Social Reinforcement Learning: https://courses.cs.washington.edu/courses/cse599j1/25au/.

Multi-agent DQN training step 0 trajectory video

Multi-agent DQN training step 0 trajectory video

Multi-agent DQN training step 0 trajectory video

RLHF: How to Learn from Human Feedback with Reinforcement Learning

RLHF: How to Learn from Human Feedback with Reinforcement Learning

This lecture was delivered at the 2023 Cooperative AI Summer School. For more information, please visit ...

Multi-agent DQN training step 90000 trajectory video

Multi-agent DQN training step 90000 trajectory video

Multi-agent DQN training step 90000 trajectory video

Social Reinforcement Learning talk at RLDM

Social Reinforcement Learning talk at RLDM

Social learning helps humans and animals rapidly adapt to new circumstances, coordinate with others, and drives the emergence ...

MIA: Natasha Jaques, Mechanisms for generalized learning; Susan Murphy, Personalized HeartSteps

MIA: Natasha Jaques, Mechanisms for generalized learning; Susan Murphy, Personalized HeartSteps

May 15, 2019

Reinforcement Learning (RL) for LLMs

Reinforcement Learning (RL) for LLMs

Lecture on reinforcement learning (RL) fine-tuning of large language models (LLMs). Even though we are in the RL era for ...