Published Mar 20, 2024
Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter
Explore the forefront of AI development with Dr. Minqi Jiang and Dr. Marc Rigter as they dive into the possibilities of building generalist agents through intrinsic motivation, endless creativity, and sophisticated world models, tackling the challenges and innovations in reinforcement learning and AI adaptability.

Topics covered
Popular Clips
Questions from this episode
- Asked by 91 people
- Asked by 86 people
- Asked by 60 people
- Asked by 45 people
- Asked by 42 people
- Asked by 34 people
- Asked by 25 people
- Asked by 19 people
- Asked by 2 people
- Asked by 2 people
Episode Highlights
Related Episodes


#114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)
Answers 383 questions

Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel
Answers 383 questions

Jürgen Schmidhuber - Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs
Answers 383 questions

#51 Francois Chollet - Intelligence and Generalisation
Answers 383 questions

Dr. Brandon Rohrer - Robotics, Creativity and Intelligence
Answers 383 questions

Can We Develop Truly Beneficial AI? George Hotz and Connor Leahy
Answers 383 questions

#045 Microsoft's Platform for Reinforcement Learning (Bonsai)
Answers 383 questions

Explainability, Reasoning, Priors and GPT-3
Answers 383 questions

#046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)
Answers 383 questions

OpenAI GPT-3: Language Models are Few-Shot Learners
Answers 383 questions

MULTI AGENT LEARNING - LANCELOT DA COSTA
Answers 383 questions

ICLR 2020: Yoshua Bengio and the Nature of Consciousness
Answers 383 questions

Gary Marcus' keynote at AGI-24
Answers 383 questions

DOES AI HAVE AGENCY? With Professor. Karl Friston and Riddhi J. Pitliya
Answers 383 questions
