Alternatives and similar repositories for ParallelizedGoExplore:

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

• david-abel / rl_info_theory
  A collection of code investigating the use of information theory for abstractions in RL
  ☆16Updated 6 years ago
• njustesen / a2c_gvgai
  A2C for GVG-AI
  ☆21Updated 6 years ago
• uber-research / Evolvability-ES
  ☆14Updated 5 years ago
• tianjunz / MADE
  ☆19Updated 3 years ago
• distillpub / post--understanding-rl-vision
  Understanding RL vision Distill article
  ☆23Updated 2 years ago
• flowersteam / geppg
  ☆35Updated 6 years ago
• flowersteam / Unsupervised_Goal_Space_Learning
  Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"
  ☆21Updated 7 years ago
• jeappen / gym-grid
  A simple Gridworld environment for Open AI gym
  ☆25Updated 6 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆27Updated 6 years ago
• seungjaeryanlee / rl-exploration
  Reinforcement Learning papers on exploration methods.
  ☆20Updated 3 years ago
• epignatelli / discovering-reinforcement-learning-algorithms
  A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…
  ☆21Updated 4 years ago
• willwhitney / dynamics-aware-embeddings
  Official implementation of DynE, Dynamics-aware Embeddings for RL
  ☆43Updated 3 years ago
• AdeelMufti / RL-RND
  Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation
  ☆31Updated 5 years ago
• kachayev / gym-microrts-paper-sb3
  RL agent to play μRTS with Stable-Baselines3 and PyTorch
  ☆26Updated 3 years ago
• ajgupta93 / d3pg-pytorch
  Distributed DDPG implementation in pytorch
  ☆9Updated 6 years ago
• supratikp / HOOF
  Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583
  ☆18Updated 5 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 4 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 7 months ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 7 years ago
• microsoft / logrl
  Logarithmic Reinforcement Learning
  ☆26Updated last year
• flowersteam / Curiosity_Driven_Goal_Exploration
  Code to reproduce the results of "Curiosity Driven Exploration of Learned Disentangled Goal Spaces"
  ☆19Updated 6 years ago
• HumanCompatibleAI / rlsp
  Reward Learning by Simulating the Past
  ☆44Updated 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…
  ☆32Updated 6 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• Kajiyu / kanerva_machine
  The implementation of "The Kanerva Machine" with Pytorch and Pyro
  ☆12Updated 6 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆33Updated 5 years ago
• veronicachelu / meta-learning
  Meta Reinforcement Learning Experiments
  ☆34Updated 7 years ago
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆29Updated 5 years ago
• yangkevin2 / neurips2021-lap3
  ☆17Updated 3 years ago