Alternatives and similar repositories for pbt:

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

• facebookresearch / modeling_long_term_future
  Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
  ☆50Updated 5 years ago
• alok / rl_implementations
  ☆42Updated 5 years ago
• facebookresearch / measuring-emergent-comm
  On the pitfalls of measuring emergent communication
  ☆34Updated 5 years ago
• shagunsodhani / memory-augmented-self-play
  PyTorch implementation of Memory Augmented Self-Play
  ☆50Updated 4 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆50Updated 6 years ago
• hiwonjoon / NEC
  Implementation of Neural Episodic Control in Tensorflow
  ☆26Updated 5 years ago
• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆39Updated 4 months ago
• LiubovSobolevskaya / tf2-a2c-ppo
  mplementation of Advantage Actor Critic (A2C) and Proximal Policy Optimization Algorithm (PPO) use the advantages of Tensorflow 2.x.
  ☆9Updated 4 years ago
• anandsaha / nips.cocob.pytorch
  PyTorch implementation of the NIPS'17 paper Training Deep Networks without Learning Rates Through Coin Betting.
  ☆38Updated 6 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…
  ☆32Updated 6 years ago
• facebookresearch / td-delta
  Separating value functions across time-scales.
  ☆17Updated 5 years ago
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆61Updated last year
• reinforcement-learning-kr / reinforcement-learning-pytorch
  Minimal and Clean Reinforcement Learning Examples in PyTorch
  ☆41Updated 6 years ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated last year
• Holmeswww / PPOGAN
  ☆24Updated 8 months ago
• illidanlab / rpg
  Ranking Policy Gradient
  ☆23Updated 5 years ago
• david-abel / rl_info_theory
  A collection of code investigating the use of information theory for abstractions in RL
  ☆16Updated 6 years ago
• BY571 / Upside-Down-Reinforcement-Learning
  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
  ☆77Updated 4 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆44Updated 6 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 5 years ago
• Feryal / automated-curriculum-rl
  ☆32Updated 6 years ago
• yobibyte / pgn
  Graph Nets in pytorch
  ☆27Updated 2 years ago
• supratikp / HOOF
  Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583
  ☆17Updated 5 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
• henry-prior / multimodal-rl
  Solving reinforcement learning tasks which require language and vision
  ☆32Updated last year
• toru34 / tf_optimizers
  Optimizers in tensorflow from scratch
  ☆18Updated 7 years ago
• KMarino / hrl-ep3
  Code for our paper: Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
  ☆15Updated 5 years ago
• dnddnjs / minecraft-rl
  simple reinforcement learning example for the minecraft
  ☆9Updated 6 years ago
• rraileanu / auto-drac
  Automatic Data-Regularized Actor-Critic (Auto-DrAC)
  ☆102Updated last year