Videos

Name: Alberta Machine Intelligence Institute (Amii)
Address: 2nd Floor, 10065 Jasper Ave, Edmonton, Alberta, T5J 3B1, Canada

Jan 17, 2025
1-Minute Research: Davide Maran, The Key for No-regret Reinforcement Learning in Continuous MDPs
Jan 8, 2025
AI Seminar Series 2024: Essential Offline RL Theories for Algorithm Developers with Fengdi Che
Dec 10, 2024
Approximately Correct Podcast: Can AI Predict Your Survival?
Dec 9, 2024
AI Seminar: Leveraging RL for Player Interaction Gameplay Mechanics Generation, Johor Jara Gonzalez
Dec 9, 2024
AI Seminar: PulseMedica: Applying ML Technologies to Screen and Treat Eye Floaters, Chris Ceroici
Nov 29, 2024
1-Minute Research: Gautham Vasan, Deep Policy Gradient Methods without Batch Updates, Target Networks, or Replay Buffers
Nov 29, 2024
1-Minute Research in Plain Language: Jacob Adkins, A Method for Evaluating Hyperparameter Sensitivity in RL
Nov 29, 2024
1 Minute Research in Plain Language: Simone Parisi, Exploration With Partially Observable Rewards
Nov 29, 2024
1Minute Research in Plain Language: Gautham Vasan, Deep Policy Gradient Methods Without Batch Updates
Nov 29, 2024
1-Minute Research in Plain Language: Davide Maran, The Key for No-regret Reinforcement Learning in Continuous MDPs
Nov 29, 2024
1-Minute Research: Simone Parisi, Exploration With Partially Observable Rewards
Nov 29, 2024
1-Minute Research: Jacob Adkins, A Method for Evaluating Hyperparameter Sensitivity in RL
Nov 12, 2024
"AI Seminar: True Novelty & Out of Distribution Generation through Procedural Content Generation, Matthew Guzdial "
Nov 12, 2024
AI Seminar: Afzal Memon on Using Physics and Domain Expertise to Maximize AI’s Potential
Oct 29, 2024
Approximately Correct Podcast: Rich Sutton’s new path for AI
Oct 22, 2024
AI Seminar: Synergy of Graph Data Management & Machine Learning in Explainability & Query Answering, Arijit Khan
Sep 29, 2024
Toward a Better Deep Learning: Rich Sutton
Sep 27, 2024
Approximately Correct Podcast: Game Changer: Revolutionizing Video Game AI with Artificial Agency’s Andrew Butcher | Amii
Sep 27, 2024
Tea Time Talks 2024: Bounding-Box Inference for Error-Aware Model-Based RL - Erin Talvitie
Sep 27, 2024
Tea Time Talks 2024: Yiuqi Wang, Transformers Learn Temporal Difference Methods for In-Context RL
Sep 27, 2024
Tea Time Talks 2024: Mahshid Rahmani Hanzaki, Tile-coding for Count-based Exploration
Sep 27, 2024
Tea Time Talks 2024: Alireza Kazemipour, Optimism and Mon-MDPs
Sep 27, 2024
Tea Time Talks 2024: Aidan Bush, Multi-agent Deflection Routing with Bandits
Sep 27, 2024
Tea Time Talks 2024: Alex Lewandowski, Continual Learning, Scalability, and Linearity

Videos

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Video

1-Minute Research: Davide Maran, The Key for No-regret Reinforcement Learning in Continuous MDPs

AI Seminar Series 2024: Essential Offline RL Theories for Algorithm Developers with Fengdi Che

Approximately Correct Podcast: Can AI Predict Your Survival?

AI Seminar: Leveraging RL for Player Interaction Gameplay Mechanics Generation, Johor Jara Gonzalez

AI Seminar: PulseMedica: Applying ML Technologies to Screen and Treat Eye Floaters, Chris Ceroici

1-Minute Research: Gautham Vasan, Deep Policy Gradient Methods without Batch Updates, Target Networks, or Replay Buffers

1-Minute Research in Plain Language: Jacob Adkins, A Method for Evaluating Hyperparameter Sensitivity in RL

1 Minute Research in Plain Language: Simone Parisi, Exploration With Partially Observable Rewards

1Minute Research in Plain Language: Gautham Vasan, Deep Policy Gradient Methods Without Batch Updates

1-Minute Research in Plain Language: Davide Maran, The Key for No-regret Reinforcement Learning in Continuous MDPs

1-Minute Research: Simone Parisi, Exploration With Partially Observable Rewards

1-Minute Research: Jacob Adkins, A Method for Evaluating Hyperparameter Sensitivity in RL

"AI Seminar: True Novelty & Out of Distribution Generation through Procedural Content Generation, Matthew Guzdial "

AI Seminar: Afzal Memon on Using Physics and Domain Expertise to Maximize AI’s Potential

Approximately Correct Podcast: Rich Sutton’s new path for AI

AI Seminar: Synergy of Graph Data Management & Machine Learning in Explainability & Query Answering, Arijit Khan

Toward a Better Deep Learning: Rich Sutton

Approximately Correct Podcast: Game Changer: Revolutionizing Video Game AI with Artificial Agency’s Andrew Butcher | Amii

Tea Time Talks 2024: Bounding-Box Inference for Error-Aware Model-Based RL - Erin Talvitie

Tea Time Talks 2024: Yiuqi Wang, Transformers Learn Temporal Difference Methods for In-Context RL

Tea Time Talks 2024: Mahshid Rahmani Hanzaki, Tile-coding for Count-based Exploration

Tea Time Talks 2024: Alireza Kazemipour, Optimism and Mon-MDPs

Tea Time Talks 2024: Aidan Bush, Multi-agent Deflection Routing with Bandits

Tea Time Talks 2024: Alex Lewandowski, Continual Learning, Scalability, and Linearity

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1-Minute Research: Davide Maran, The Key for No-regret Reinforcement Learning in Continuous MDPs

AI Seminar Series 2024: Essential Offline RL Theories for Algorithm Developers with Fengdi Che

Approximately Correct Podcast: Can AI Predict Your Survival?

AI Seminar: Leveraging RL for Player Interaction Gameplay Mechanics Generation, Johor Jara Gonzalez

AI Seminar: PulseMedica: Applying ML Technologies to Screen and Treat Eye Floaters, Chris Ceroici

1-Minute Research: Gautham Vasan, Deep Policy Gradient Methods without Batch Updates, Target Networks, or Replay Buffers

1-Minute Research in Plain Language: Jacob Adkins, A Method for Evaluating Hyperparameter Sensitivity in RL

1 Minute Research in Plain Language: Simone Parisi, Exploration With Partially Observable Rewards

1Minute Research in Plain Language: Gautham Vasan, Deep Policy Gradient Methods Without Batch Updates

1-Minute Research in Plain Language: Davide Maran, The Key for No-regret Reinforcement Learning in Continuous MDPs

1-Minute Research: Simone Parisi, Exploration With Partially Observable Rewards

1-Minute Research: Jacob Adkins, A Method for Evaluating Hyperparameter Sensitivity in RL

"AI Seminar: True Novelty & Out of Distribution Generation through Procedural Content Generation, Matthew Guzdial "

AI Seminar: Afzal Memon on Using Physics and Domain Expertise to Maximize AI’s Potential

Approximately Correct Podcast: Rich Sutton’s new path for AI

AI Seminar: Synergy of Graph Data Management & Machine Learning in Explainability & Query Answering, Arijit Khan

Toward a Better Deep Learning: Rich Sutton

Approximately Correct Podcast: Game Changer: Revolutionizing Video Game AI with Artificial Agency’s Andrew Butcher | Amii

Tea Time Talks 2024: Bounding-Box Inference for Error-Aware Model-Based RL - Erin Talvitie

Tea Time Talks 2024: Yiuqi Wang, Transformers Learn Temporal Difference Methods for In-Context RL

Tea Time Talks 2024: Mahshid Rahmani Hanzaki, Tile-coding for Count-based Exploration

Tea Time Talks 2024: Alireza Kazemipour, Optimism and Mon-MDPs

Tea Time Talks 2024: Aidan Bush, Multi-agent Deflection Routing with Bandits

Tea Time Talks 2024: Alex Lewandowski, Continual Learning, Scalability, and Linearity

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