Alternatives and similar repositories for mamdp

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

• oxwhirl / opiq
  Code for Optimistic Exploration even with a Pessimistic Initialisation
  ☆14Updated 5 years ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆102Updated 3 years ago
• rlai-lab / Regularized-GradientTD
  Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.
  ☆36Updated 4 years ago
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆44Updated last year
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆88Updated 4 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
• bstadie / krazyworld
  krazy grid world
  ☆25Updated 5 years ago
• philipjball / OffCon3
  📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)
  ☆24Updated 4 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 6 years ago
• HumanCompatibleAI / evaluating-rewards
  Library to compare and evaluate reward functions
  ☆67Updated last year
• henry-prior / jax-rl
  JAX implementations of core Deep RL algorithms
  ☆81Updated 3 years ago
• ElisevanderPol / symmetrizer
  ☆31Updated 4 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".
  ☆63Updated last year
• mklissa / PPOC
  Proximal Policy Option-Critic
  ☆25Updated 6 years ago
• brain-research / mirage-rl
  Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.
  ☆17Updated 7 years ago
• abbyvansoest / maxent
  ☆13Updated 6 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• deep-skill-chaining / deep-skill-chaining
  Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"
  ☆29Updated 5 years ago
• robintyh1 / icml2021-pengqlambda
  Revisiting Peng's Q(lambda) for Modern Reinforcement Learning
  ☆16Updated 4 years ago
• seungyulhan / disc
  ☆9Updated 2 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• philipjball / SAC_PyTorch
  🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation
  ☆39Updated 3 years ago
• jinnaiyuu / Optimal-Options-ICML-2019
  Code for generating options for planning and reinforcement learning
  ☆12Updated 4 years ago
• kristychoi / pixel_exploration
  PyTorch implementation of Count-Based Exploration with Neural Density Models
  ☆10Updated 7 years ago
• yfletberliac / adversarially-guided-actor-critic
  AGAC: Adversarially Guided Actor-Critic
  ☆48Updated 3 years ago
• younggyoseo / RE3
  RE3: State Entropy Maximization with Random Encoders for Efficient Exploration
  ☆69Updated 4 years ago
• tesslerc / TD3-JAX
  A JAX Implementation of the Twin Delayed DDPG Algorithm
  ☆35Updated 5 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆56Updated 2 years ago