chrischute / pbt

Related projects: ⓘ

• alok / rl_implementations
  ☆42Updated 5 years ago
• facebookresearch / modeling_long_term_future
  Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
  ☆51Updated 5 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
• facebookresearch / measuring-emergent-comm
  On the pitfalls of measuring emergent communication
  ☆33Updated 5 years ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated 11 months ago
• shagunsodhani / torch-template
  Boiler plate code for Torch based ML projects
  ☆10Updated 3 years ago
• AdeelMufti / DifferentiableNeuralComputer
  Optimized Differentiable Neural Computer In Chainer
  ☆23Updated 6 years ago
• Feryal / automated-curriculum-rl
  ☆31Updated 5 years ago
• apaszke / examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆10Updated 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
• yobibyte / iclr-viewer
  Go through the list of accepted papers for ICLR in terminal and add them to your reading list.
  ☆13Updated 3 years ago
• shagunsodhani / memory-augmented-self-play
  PyTorch implementation of Memory Augmented Self-Play
  ☆50Updated 3 years ago
• david-abel / rl_info_theory
  A collection of code investigating the use of information theory for abstractions in RL
  ☆15Updated 5 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 4 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆50Updated 5 years 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
• facebookresearch / rela
  Reinforcement Learning Assembly
  ☆92Updated 3 years ago
• backpropper / s2p
  Code repository for On the interaction between supervision and self-play in emergent communication (ICLR 2020)
  ☆16Updated 4 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆43Updated 6 years ago
• gsastry / human-rl
  Code for human intervention reinforcement learning
  ☆33Updated 6 years ago
• illidanlab / rpg
  Ranking Policy Gradient
  ☆23Updated 4 years ago
• rraileanu / auto-drac
  Automatic Data-Regularized Actor-Critic (Auto-DrAC)
  ☆101Updated last year
• 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
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 5 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆77Updated 11 months ago
• reinforcement-learning-kr / reinforcement-learning-pytorch
  Minimal and Clean Reinforcement Learning Examples in PyTorch
  ☆41Updated 5 years ago
• hardmaru / rlzoo
  fork of rl-baseline-zoo
  ☆21Updated 4 years ago
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆93Updated 4 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 6 years ago
• HumanCompatibleAI / rlsp
  Reward Learning by Simulating the Past
  ☆43Updated 5 years ago
• KMarino / hrl-ep3
  Code for our paper: Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
  ☆15Updated 5 years ago