yenchenlin / paper-notes

Related projects ⓘ

Alternatives and complementary repositories for paper-notes

• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆50Updated 5 years ago
• ofirnachum / models
  Models built with TensorFlow
  ☆25Updated 5 years ago
• shagunsodhani / ml-logger
  Logging utility for ML experiments
  ☆16Updated 2 years ago
• shagunsodhani / torch-template
  Boiler plate code for Torch based ML projects
  ☆10Updated 3 years ago
• wassname / world-models-sonic-pytorch
  Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more w…
  ☆31Updated 6 years ago
• dnddnjs / minecraft-rl
  simple reinforcement learning example for the minecraft
  ☆9Updated 6 years ago
• pmlg / deep-rl-bootcamp
  Deep RL Bootcamp solutions
  ☆35Updated 6 years ago
• christopher-beckham / binary_gan_demo
  ☆25Updated 5 years ago
• tianbingsz / WALL-E
  Codebase for Efficient yet simple Reinforcement Learning Research Framework
  ☆28Updated last year
• facebookresearch / measuring-emergent-comm
  On the pitfalls of measuring emergent communication
  ☆34Updated 5 years ago
• GokuMohandas / SELU
  🤖 Implementation of Self Normalizing Networks (SNN) in PyTorch.
  ☆11Updated 7 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆33Updated last year
• facebookresearch / modeling_long_term_future
  Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
  ☆50Updated 5 years ago
• shagunsodhani / memory-augmented-self-play
  PyTorch implementation of Memory Augmented Self-Play
  ☆50Updated 4 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆43Updated 6 years ago
• hardmaru / rlzoo
  fork of rl-baseline-zoo
  ☆21Updated 4 years ago
• chenxy99 / Generative-Temporal-Models-with-Spatial-Memory
  Reimplementation code for the paper "Generative Temporal Models with Spatial Memory for Partially Observed Environments"
  ☆29Updated 2 years ago
• artix41 / AVO-pytorch
  Implementation of Adversarial Variational Optimization in PyTorch
  ☆43Updated 6 years ago
• hardmaru / presentations
  presentations
  ☆44Updated 5 years ago
• apaszke / examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆10Updated 4 years ago
• alok / rl_implementations
  ☆42Updated 5 years ago
• njustesen / a2c_gvgai
  A2C for GVG-AI
  ☆21Updated 6 years ago
• hiwonjoon / cs294-deep-rl-hw
  Berkeley DeepRL Homework
  ☆11Updated 7 years ago
• Caselles / NeurIPS19-SBDRL
  Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…
  ☆35Updated 4 years ago
• facebookresearch / reward-estimator-corl
  Reward Estimation for Variance Reduction in Deep Reinforcement Learning
  ☆21Updated 6 years ago
• cosmoharrigan / rc-nfq
  RC-NFQ: Regularized Convolutional Neural Fitted Q Iteration. A batch algorithm for deep reinforcement learning. Incorporates dropout regu…
  ☆12Updated 3 years ago
• Shallow-Updates-for-Deep-RL / Shallow_Updates_for_Deep_RL
  Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"
  ☆18Updated 7 years ago
• R-McHenry / ParallelizedGoExplore
  A first bare bones paralleled implementation of Go Explore as described by the Uber Engineering blog post
  ☆45Updated 5 years ago
• willwhitney / dynamics-aware-embeddings
  Official implementation of DynE, Dynamics-aware Embeddings for RL
  ☆43Updated 3 years ago
• hellochick / FICM
  [IJCAI'20][ICLR'19 Workshop] Flow-based Intrinsic Curiosity Module. Playing SuperMario with RL agent and FICM!
  ☆102Updated last year