Reinforcement Learning For Dialogue Systems 强化学习在对话系统中的应用 论文或开源应用总结
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dyna-q
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Reinforcement Learning Algorithms in FrozenLake-v1
reinforcement-learning monte-carlo openai-gym q-learning reinforcement-learning-algorithms sarsa reinforce policy-iteration value-iteration td-learning actor-critic sarsa-lambda frozenlake frozenlake-v0 dyna-q sutton-gridworld monte-carlo-control sutton-barto-book
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PyTorch implementation of various reinforcement learning algorithms
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ReLAx - Reinforcement Learning Applications Library
dqn ddpg sac trpo categorical-dqn ppo model-based-rl dyna-q reinforcementlearning td3 policy-gradients rainbow-dqn n-step-bootstrapping mbpo
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path planning using Q learning algorithm
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Various fundamental reinforcement learning algorithms implemented from scratch
python reinforcement-learning q-learning reinforcement-learning-algorithms sarsa expected-sarsa temporal-differencing-learning dyna-q prioritized-sweeping
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Reinforcement learning algorithms to solve OpenAI gym environments
reinforcement-learning openai-gym q-learning dqn cartpole mountain-car sarsa taxi openai-gym-environments frozenlake dyna-q
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Solving Markov Decision Process using Value Iteration and Policy Iteration, SARSA, Expected SARSA and Q-Learning
q-learning markov-decision-processes policy-iteration value-iteration expected-sarsa sarsa-learning dyna-q
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Reinforcement Learning Specialization courses solutions
reinforcement-learning neural-network monte-carlo q-learning policy-gradient sarsa markov-decision-processes temporal-differencing-learning dyna-q
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Programming assignments completed for my Reinforcement Learning course: Topics include Bandit Algorithms, Dynamic Programming, policy iteration, Monte-Carlo methods, SARSA, Q-Learning, Dyna-Q/Dyna-Q+, gradient control methods, state aggregation methods, and Deep Q-Learning Networks (DQNs).
reinforcement-learning deep-learning monte-carlo deep-reinforcement-learning q-learning policy-gradient dynamic-programming deep-q-network policy-iteration gradient-descent-algorithm bandit-algorithms sarsa-learning dyna-q
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Assignments and Reading Material for RL Course
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Implementation of all RL algorithms in a simpler way
reinforcement-learning qlearning monte-carlo reinforcement-learning-algorithms a3c monte-carlo-tree-search sac hierarchical-reinforcement-learning deep-q-learning trust-region-policy-optimization ddpg-algorithm a2c sarsa-learning dyna-q multi-agent-reinforcement-learning
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Experiments with Dyna-Q
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Reinforcement Learning Using Q-learning, Double Q-learning, and Dyna-Q.
python reinforcement-learning q-learning gridworld transition-matrix probabilistic-model dyna-q deterministic-model
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Homework for SJTU-AI3603.
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For this project, I created a reinforcement learning system. While learning about machine learning and designing structure, in which an object will learn by trail and error to produce the correct outcome.
python machine-learning reinforcement-learning algorithms numpy jupyter-notebook q-learning pandas sarsa matplotlib portfolio-project dyna-q
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Model-Based Reinforcement Learning where the internal model is imperfect
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Implementation of Dyna-Q with priority sweeping on a basic n by n gridworld
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