Alternatives and similar repositories for dm_memorytasks

Users that are interested in dm_memorytasks are comparing it to the libraries listed below

• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆191Updated 2 years ago
• opherlieber / rltime
  RLtime is a reinforcement learning library focused on state-of-the-art q-learning algorithms and features
  ☆140Updated 5 years ago
• uber-research / poet
  Paired Open-Ended Trailblazer (POET) and Enhanced POET
  ☆250Updated 3 years ago
• MillionIntegrals / vel
  Velocity in deep-learning research
  ☆276Updated 2 years ago
• facebookresearch / minirts
  We release dataset collected for our research, code that implement neural network models described in the paper, and scripts to reproduce…
  ☆162Updated 3 years ago
• uber-research / differentiable-plasticity
  Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research pap…
  ☆404Updated 5 years ago
• hardmaru / astool
  Augmented environments with RL
  ☆104Updated 6 years ago
• facebookresearch / Hanabi_SPARTA
  Research code implementing the search AI agent for Hanabi, as well as a web server so people can play against it
  ☆128Updated last year
• google-deepmind / dm_hard_eight
  ☆84Updated 4 years ago
• google-deepmind / lab2d
  A customisable 2D platform for agent-based AI research
  ☆430Updated last year
• Cohere-Labs-Community / rl
  Generic reinforcement learning codebase in TensorFlow
  ☆95Updated 3 years ago
• uber-research / atari-model-zoo
  A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…
  ☆202Updated 5 years ago
• uber-research / EvoGrad
  ☆182Updated 11 months ago
• rddy / ReQueST
  Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"
  ☆84Updated 5 years ago
• zuoxingdong / lagom
  lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
  ☆375Updated 2 years ago
• google-deepmind / symplectic-gradient-adjustment
  A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"
  ☆153Updated 6 years ago
• openai / coinrun
  Code for the paper "Quantifying Transfer in Reinforcement Learning"
  ☆398Updated last year
• rasmusbergpalm / evostrat
  A library that makes Evolutionary Strategies (ES) simple to use.
  ☆180Updated 4 years ago
• openai / atari-reset
  Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"
  ☆203Updated 6 years ago
• microsoft / coax
  This project was moved to: https://github.com/coax-dev/coax
  ☆160Updated 2 years ago
• unixpickle / anyrl-py
  A reinforcement learning framework
  ☆155Updated 6 years ago
• Kaixhin / spinning-up-basic
  Basic versions of agents from Spinning Up in Deep RL written in PyTorch
  ☆203Updated 4 years ago
• ramanans1 / plan2explore
  Repository for the paper "Planning to Explore via Self-Supervised World Models"
  ☆221Updated 2 years ago
• hardmaru / gecco-tutorial-2019
  2019 talk at GECCO
  ☆68Updated 6 years ago
• minerllabs / competition_submission_template
  The submission template for the MineRL Competition @ NeurIPS 2021. Clone this to make a new submission!
  ☆92Updated 3 years ago
• JohnLangford / RL_acid
  Some hard problems for reinforcement learning.
  ☆31Updated 6 years ago
• openai / orrb
  Code for the paper "OpenAI Remote Rendering Backend"
  ☆244Updated 2 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆79Updated last year
• google-research / episodic-curiosity
  Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability
  ☆204Updated 4 years ago
• brain-research / guided-evolutionary-strategies
  Guided Evolutionary Strategies
  ☆271Updated 2 years ago