1:24:30 Deep Q-Learning paper explained: Human-level control through deep reinforcement learning (algorithm) LLMs Explained - Aggregate…
27:31 [DQN] Human-level control through deep reinforcement learning (discussions) | AISC Foundational LLMs Explained - Aggregate…
1:15:04 [DDQN] Deep Reinforcement Learning with Double Q-learning | TDLS Foundational LLMs Explained - Aggregate…
1:14:03 [AlphaGo Zero] Mastering the game of Go without human knowledge | TDLS LLMs Explained - Aggregate…
1:25:48 AlphaStar explained: Grandmaster level in StarCraft II with multi-agent RL LLMs Explained - Aggregate…
1:31:12 Top-K Off-Policy Correction for a REINFORCE Recommender System | AISC LLMs Explained - Aggregate…
55:16 Multi-Armed Bandit Strategies for Non-Stationary Reward Distributions and Delayed Feedback Processes LLMs Explained - Aggregate…
55:30 [GATA] Learning Dynamic Belief Graphs to Generalize on Text-Based Games | AISC LLMs Explained - Aggregate…
56:29 Human-Machine Learning Systems: The Sum is Bigger than the Parts (with Professor Matthew Taylor) LLMs Explained - Aggregate…
1:01:46 Reinforcement Learning in the Real World (with Professor Matthew Taylor) LLMs Explained - Aggregate…
