flowersteam / Curiosity_Driven_Goal_Exploration

Related projects ⓘ

Alternatives and complementary repositories for Curiosity_Driven_Goal_Exploration

• flowersteam / Unsupervised_Goal_Space_Learning
  Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"
  ☆21Updated 6 years ago
• flowersteam / geppg
  ☆35Updated 6 years ago
• rddy / isql
  Inferring beliefs about dynamics from behavior
  ☆28Updated 6 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
• willwhitney / dynamics-aware-embeddings
  Official implementation of DynE, Dynamics-aware Embeddings for RL
  ☆43Updated 3 years ago
• ajgupta93 / d3pg-pytorch
  Distributed DDPG implementation in pytorch
  ☆9Updated 6 years ago
• KyriacosShiarli / taco
  ☆26Updated 5 years ago
• idlrl / flare
  RL framework for embodied agents based on PyTorch
  ☆12Updated 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
• david-abel / rl_info_theory
  A collection of code investigating the use of information theory for abstractions in RL
  ☆15Updated 6 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆43Updated 6 years ago
• AIcrowd / real_robots
  Gym environments for Robots that learn to interact with the environment autonomously
  ☆34Updated 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
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆28Updated 5 years ago
• russellmendonca / GMPS
  Guided-Meta Policy Search
  ☆41Updated last year
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆27Updated 5 years ago
• Feryal / craft-env
  ☆44Updated 5 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 3 years ago
• HumanCompatibleAI / rlsp
  Reward Learning by Simulating the Past
  ☆43Updated 5 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 5 years ago
• jcoreyes / ex2
  Code for running EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
  ☆9Updated 6 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 3 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 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
• resibots / kaushik_2018_multi-dex
  Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)
  ☆13Updated 6 years ago
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆44Updated 2 years ago
• rythei / DARLA-PyTorch
  PyTorch implementation of DARLA preprocessing models
  ☆11Updated 6 years ago
• ofirnachum / models
  Models built with TensorFlow
  ☆25Updated 5 years ago