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Reinforcement Learning Series

Reinforcement Learning (Part 7) - Solving Lunar Landing
This is the 7th and final part of the Reinforcement Learning Series: Here I give a brief introduction to deep Q-learning and some techniques to increase…
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Subhrajyoty Roy
Reinforcement Learning (Part 6) - Value Function Approximation
This is the 6th part of the Reinforcement Learning Series: Here I discuss about techniques to work with infinite state space, where the tabular methods…
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Subhrajyoty Roy
Reinforcement Learning (Part 5) - Q Learning and Optimal Policy Finding
This is the 5th part of the Reinforcement Learning Series: Here I discuss about techniques to finding optimal policies, and then demonstrate the popular…
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Subhrajyoty Roy
Reinforcement Learning (Part 4) - Temporal Difference Algorithms
4th part of the Reinforcement Learning Series: I discuss about how the idea of Bellman equations and Monte Carlo methods can be combined into a single…
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Subhrajyoty Roy
Reinforcement Learning (Part 3) - Markov Decision Process
This is the third part of the Reinforcement Learning series: Here I discuss about the representing the reinforcement learning problem as a markov…
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Subhrajyoty Roy
Reinforcement Learning (Part 2) - K-arm Bandit Problem
This is the second part of the Reinforcement Learning series: Here I discuss about dynamically balancing between exploration and exploitation to reach…
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Subhrajyoty Roy
Reinforcement Learning (Part 1) - K-arm Bandit Problem
This is an introductory post about reinforcement learning. Here I discuss about the exploration-exploitation dilemma with multi-armed bandit problem and…
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Subhrajyoty Roy
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