Alternatives and similar repositories for labmaze

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

• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆56Updated 3 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".
  ☆64Updated 2 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 years ago
• takuseno / d4rl-pybullet
  Datasets for data-driven deep reinforcement learning with PyBullet environments
  ☆151Updated 4 years ago
• Hwhitetooth / jax_muzero
  An implementation of MuZero in JAX.
  ☆57Updated 3 years ago
• flowersteam / teachDeepRL
  ☆89Updated 4 years ago
• ethanluoyc / magi
  Reinforcement learning library in JAX.
  ☆100Updated 2 years ago
• edbeeching / 3d_control_deep_rl
  Baselines and memory-based scenarios for the ViZDoom simulator
  ☆36Updated 3 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆92Updated 4 years ago
• henry-prior / jax-rl
  JAX implementations of core Deep RL algorithms
  ☆82Updated 3 years ago
• google-deepmind / zipfian_environments
  ☆28Updated 3 years ago
• google-research / world_models
  ☆125Updated 2 years ago
• harvard-edge / QuaRL
  QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.
  ☆75Updated 2 years ago
• bstadie / krazyworld
  krazy grid world
  ☆25Updated 5 years ago
• MishaLaskin / torchingup
  TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…
  ☆54Updated 3 years ago
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆59Updated 3 years ago
• facebookresearch / impact-driven-exploration
  impact-driven-exploration
  ☆132Updated 2 years ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆104Updated 3 years ago
• google-deepmind / dm_hard_eight
  ☆84Updated 5 years ago
• tshrjn / env-zoo
  A curated list of reinforcement learning environments and frameworks.
  ☆52Updated 6 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 4 years ago
• facebookresearch / mtenv
  MultiTask Environments for Reinforcement Learning.
  ☆79Updated 3 years ago
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆45Updated 2 years ago
• DavidJanz / successor_uncertainties_atari
  Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…
  ☆21Updated 2 years ago
• kashif / firedup
  Clone of OpenAI's Spinning Up in PyTorch
  ☆154Updated 3 years ago
• zuoxingdong / dm2gym
  Convert DeepMind Control Suite to OpenAI gym environments.
  ☆87Updated 5 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 7 years ago