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Topic: "double-q-learning"

perseus784/Vehicle_Overtake_Double_DQN

A Reinforcement Learning agent to perform overtaking action using Double DQN based CNNs which takes images as input built using TensorFlow.

Language: Python - Size: 37.6 MB - Last synced at: about 7 hours ago - Pushed at: about 4 years ago - Stars: 26 - Forks: 2

doerlbh/mentalRL

Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".

Language: Jupyter Notebook - Size: 59.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 22 - Forks: 7

DavidMouse1118/Reinforcement-Learning-Maze-World

SARSA, Q-Learning, Expected SARSA, SARSA(λ) and Double Q-learning Implementation and Analysis

Language: Python - Size: 12 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 22 - Forks: 7

BY571/Randomized-Ensembled-Double-Q-learning-REDQ-

Pytorch implementation of Randomized Ensembled Double Q-learning (REDQ)

Language: Jupyter Notebook - Size: 765 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 19 - Forks: 0

EliorBenYosef/reinforcement-learning

Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.

Language: Python - Size: 4.45 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 2

PoCInnovation/Underflow

With underflow, create trafic light clusters that interact together to regulate circulation

Language: Python - Size: 595 KB - Last synced at: 12 months ago - Pushed at: about 5 years ago - Stars: 13 - Forks: 0

pouyan-asg/path-planning-with-RL-algorithms

Path Planning with Reinforcement Learning algorithms in an unknown environment

Language: Python - Size: 4.76 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

ZikangZhou/nim_rl

A reinforcement learning framework for the game of Nim.

Language: C++ - Size: 11.8 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

ChristianOrr/reinforcement-learning-algorithms

Reinforcement learning algorithms

Language: Jupyter Notebook - Size: 63.4 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

amirabbasii/Cartpole_C51

Solving CartPole using Distributional RL

Language: Jupyter Notebook - Size: 475 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

lychengrex/Playing-Space-Invaders-with-Deep-Q-Networks Fork of hsuanchuu/2019Playing-Space-Invaders-with-Deep-Q-Networks

Implement several deep reinforcement learning algorithms on one of games in Atari 2600 - Space Invaders.

Language: Python - Size: 1.45 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

klima7/Reversi-RL

Reversi game with multiple reinforcement learning algorithms.

Language: Python - Size: 191 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

SamYuen101234/chrome_dino_RL

A very detailed project of Chrome Dinosaur in Deep RL for beginners

Language: Python - Size: 129 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

sahandkhoshdel99/Reinforcement-Learning-

Language: Jupyter Notebook - Size: 209 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

pkyriakou/RL-reward-experiments Fork of Lucas-De/RL-reward-experiments

This repository is a fork of a repository originally created by Lucas Descause. It is the codebase used for my Master's dissertation "Reinforcement Learning with Function Approximation in Continuing Tasks: Discounted Return or Average Reward?" which was also an extension of Luca's work.

Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

nicoleorzan/Reinforcement-Learning-Maze

Use SARSA, Q learning, double Q and QV to solve a maze with Reinforcement Learning

Language: C++ - Size: 5.55 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

Kaleidophon/quirky-quokka

Environment-related differences of Deep Q-Learning and Deep Double Q-Learning

Language: Python - Size: 6.84 MB - Last synced at: 23 days ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

grahamdavies15/RaceTrackDoubleDynaQ

Reinforcement Learning: Modification of Q-learning through the use DynaQ learning and Double-Q learning.

Language: Python - Size: 153 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Pabloo22/coin_flip_cheaters_solver

Solver of the game “Coin Flip Cheaters” which can be found on https://primerlearning.org/. This is not a bot, in order to use it in the real game you would need to do it manually.

Language: Python - Size: 20.5 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

BhanuPrakashPebbeti/Q-Learning_and_Double-Q-Learning

Python script to balance Pendulum from open ai gym using Q-Learning and Double Q-Learning

Language: Python - Size: 12 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

rvdweerd/RL-experiments

Reinforcement Learning experiments, comparing performance of Q-learning and Double Q-learning algorithms.

Language: Python - Size: 476 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

GuanSuns/Understanding-Reinforcement-Learning

Understanding several problems in RL and understanding how to solve those issues.

Language: Jupyter Notebook - Size: 302 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Related Topics
reinforcement-learning 19 q-learning 15 sarsa 6 deep-reinforcement-learning 6 expected-sarsa 4 pytorch 3 sarsa-learning 3 deep-q-network 3 policy-gradient 3 deep-q-learning 3 double-dqn 2 dynamic-programming 2 torch 2 tensorflow 2 convolutional-neural-networks 2 python 2 dqn 2 value-iteration 2 open-ai-gym 2 monte-carlo 2 artificial-intelligence 2 sarsa-lambda 2 policy-iteration 2 n-step-tree-backup 2 actor-critic 2 n-step-expected-sarsa 2 value-function-approximation 2 ppo 1 double-expected-sarsa 1 gae 1 a2c 1 openai-gym-environments 1 soft-actor-critic 1 redq 1 randomized-ensemble 1 ensemble-learning 1 ucb-algorithm 1 transfer-learning 1 n-armed-bandit-problem 1 model-learning 1 model-based-rl 1 openai-gym 1 openai 1 cnn 1 machine-learning 1 deep-learning 1 deep-double-q-network 1 value-based-methods 1 streamlit 1 real-time-demo 1 rainbow 1 prioritized-experience-replay 1 policy-based-method 1 experience-replay 1 chrome-dinosaur-game 1 actor-critic-algorithm 1 dyna-q 1 temporal-difference-learning 1 off-policy-n-step-sarsa 1 off-policy-n-step-expected-sarsa 1 n-step-sarsa 1 n-step-bootstrapping 1 monte-carlo-methods 1 double-sarsa 1 dueling-q-networks 1 statistics 1 game 1 psychiatry 1 neuroscience-inspired-ai 1 aamas2020 1 aamas 1 td-0 1 tabular-methods 1 pg 1 keras 1 dql 1 deep-deterministic-policy-gradient 1 ddpg 1 value-itera 1 reversi 1 othello 1 mcts 1 maze-problem 1 maze 1 epsilon-greedy 1 cognitive-fallacies 1 behavioral-economics 1 visualisation 1 statistical-testing 1 return-formulations 1 reinforcement-learning-environments 1 empirical-research 1 data-analysis 1 asynchronous-methods 1 temporal-differencing-learning 1 path-planning 1 global-path-planning 1 overestimation-rl 1 reinforcement-learning-algorithms 1 gym 1