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akshaykhadse / reinforcement-learning

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Implementations of basic concepts dealt under the Reinforcement Learning umbrella. This project is collection of assignments in CS747: Foundations of Intelligent and Learning Agents (Autumn 2017) at IIT Bombay

reinforcement-learning linear-programming thompson-sampling epsilon-greedy ucb policy-evaluation mdps multi-armed-bandits policy-iteration randomised-algorithms reinforcement-learning-excercises kl-divergence markovian-epidemic-processes reinforcement-learning-analysis multiarm-bandit ucb1 howards-pi batch-switching randomized-policy-iteration
  • Updated May 21, 2018
  • Python

kochlisGit / Reinforcement-Learning-Algorithms

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This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.

python reinforcement-learning monte-carlo openai-gym q-learning policy rl-agents epsilon-greedy dynamic-programming markov-chains approximation-algorithms ucb1 q-lambda exploration-exploitation thomson-sampling frozen-lake multi-bandit-army
  • Updated Feb 15, 2022
  • Python

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