MorvanZhou / Meta-Learning

Related projects ⓘ

Alternatives and complementary repositories for Meta-Learning

• louaaron / GAN-Q-Learning
  Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
  ☆46Updated 3 years ago
• KuNyaa / berkeleydeeprlcourse-homework-pytorch
  Assignments for CS294-112 Fall2018 in Pytorch
  ☆63Updated 6 years ago
• ajgupta93 / d4pg-pytorch
  In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.
  ☆18Updated 6 years ago
• jingweiz / pytorch-distributed
  Ape-X DQN & DDPG with pytorch & tensorboard
  ☆102Updated 5 years ago
• ShaniGam / RL-GAN
  Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation
  ☆49Updated 4 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆33Updated 4 years ago
• bluemoonwencong / note-on-Deep-Reinforcement-Learning
  课程笔记，David Silver，CS294 ...
  ☆15Updated 5 years ago
• xlnwel / model-free-algorithms
  TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
  ☆62Updated 3 years ago
• sadeqa / Super-Mario-Bros-RL
  This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…
  ☆77Updated 5 years ago
• vuoristo / MMAML
  ☆19Updated 4 years ago
• liber145 / rlpack
  A pack of reinforcement learning algorithms.
  ☆81Updated 3 years ago
• nikonikolov / rltf
  Reinforcement Learning implementations and research prototyping in TensorFlow
  ☆80Updated 5 years ago
• KuNyaa / berkeleydeeprlcourse-homework-pytorch-solution
  Solutions for CS294-112 Fall2018 assignments in Pytorch
  ☆19Updated 6 years ago
• LinZichuan / AdMRL
  Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
  ☆33Updated 3 years ago
• PKU-RL / FEN
  FEN Code
  ☆37Updated 5 years ago
• tjuHaoXiaotian / ICML-2020-MSBCB
  Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
  ☆27Updated 4 years ago
• PKU-RL / Literature
  ☆97Updated 3 years ago
• cxxgtxy / POP3D
  Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization
  ☆44Updated 6 years ago
• floodsung / meta-critic-networks
  Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning
  ☆56Updated 6 years ago
• cmusjtuliuyuan / RainBow
  RainBow, Tensorflow
  ☆49Updated 6 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 5 years ago
• wizdom13 / RND-Pytorch
  Random Network Distillation(RND) algo in Pytorch
  ☆48Updated 5 years ago
• cheryyunl / Paper-List-of-MARL
  A new paper list for multi-agent reinforcement learning (actively maintained)
  ☆25Updated 4 years ago
• illidanlab / cdrl
  Collaborative Deep Reinforcement Learning
  ☆32Updated 7 years ago
• lightaime / TensorAgent
  Deep reinforcement learning agents implement by tensorflow https://ghli.org
  ☆54Updated 5 years ago
• hongyanz / Stackelberg-GAN
  Codes for Stackelberg GAN
  ☆12Updated 5 years ago
• Feryal / rl_mlss_2020
  ☆53Updated 4 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆66Updated 6 years ago
• facebookresearch / modeling_long_term_future
  Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
  ☆50Updated 5 years ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆62Updated 3 years ago