Shawn Hymel
PulseAugur coverage of Shawn Hymel — every cluster mentioning Shawn Hymel across labs, papers, and developer communities, ranked by signal.
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Robotics expert details reinforcement learning for robot simulation and training
Shawn Hymel has released a new video and is hosting a webinar on reinforcement learning for robotics. The video, part 2 of a series, covers Proximal Policy Optimization (PPO) and demonstrates training an agent to balanc…
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Reinforcement Learning series covers Q-learning and its impact on DQN
Shawn Hymel has published the tenth installment of his Reinforcement Learning series, focusing on Q-learning. This method differs from SARSA by utilizing the maximum Q-estimate for the next action, a technique that pave…
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Reinforcement learning math series explains core agent reasoning tools
Shawn Hymel's latest post in his Reinforcement Learning math series explains key concepts like expected return, state value function (v(s)), and action-value function (q(s,a)). These mathematical tools are fundamental f…