2 results found Sort:

BY571
Soft-Actor-Critic-and-Extensions BY571
32
279
mit
7
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
sac d2rl pytorch continuous munchausen multi-environment soft-actor-critic parallel-computing actor-critic-algorithm reinforcement-learning emphasizing-recent-experience prioritized-experience-replay munchausen-reinforcement-learning reinforcement-learning-algorithms
Created 2020-02-20
58 commits to master branch, last one 3 years ago
BY571
IQN-and-Extensions BY571
16
82
mit
4
PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and p...
dqn iqn pytorch rainbow munchausen noisy-layer distributional-r multi-environment parallel-computing parallel-processing n-step-bootstrapping pytorch-implementation reinforcement-learning implicit-quantile-networks prioritized-experience-replay reinforcement-learning-algorithms
Created 2020-08-12
37 commits to master branch, last one 4 years ago