PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
?? Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
PyTorch Implementation of REINFORCE for both discrete & continuous control
"Attention, Learn to Solve Routing Problems!"[Kool+, 2019], Capacitated Vehicle Routing Problem solver
Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch
Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Fast Discounted Cumulative Sums in PyTorch
DALF is a joint image keypoint detector and descriptor for handling non-rigid deformations. It also works great under large rotations.
Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
Chainer implementation of Deepmind's Visual Attention Model paper
Implementing obstacle avoidance and path planning for the Pioneer 3-DX robot using Python, PyTorch, and the deep reinforcement learning algorithm REINFORCE in the Webots Simulator.
Reinforcement Learning Algorithms in FrozenLake-v1
[BMM 24-25] "Just Relax It": Implementation of different relaxation methods
Deep Reinforcement Learning algorithms for Policy Value methods written from scratch.
Reinforce learning is awesome!
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