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deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

drl-flappybird

Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)

dynaq

DynaQ experiments with blocking maze and shortcut maze in pycolab

ex-baiduyunpan

百度云盘、百度云盘企业版解除大文件限制，批量复制链接

interpolated-policy-gradient-with-ppo-for-robotics-control-

Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gradient and Hindsight Experience Replay (HER)

kangxxnn.github.io

multi-step-bootstrapping

Q(sigma), Expected SARSA and n-step Tree Backup Algorithms

multistepbootstrappinginrl

Here, we compare Q(\sigma) learning presented by Sutton and Barto in [1] to Tree-Backup, n-step Expected Sarsa, and n-step Sarsa.

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

q-sigma

RL - n-step SARSA, n-step TreeBackup and n-step Q-sigma in a simple 10x10 grid world

q_sigma_tree_backup_eligibility_traces

racetrack

An environment for tabular Reinforcement Learning agents.

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

softqlearning

Reinforcement Learning with Deep Energy-Based Policies

xun.github.io