Alternatives and similar repositories for stable-opponent-shaping

Users that are interested in stable-opponent-shaping are comparing it to the libraries listed below

• alexis-jacq / LOLA_DiCE
  Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
  ☆95Updated 6 years ago
• alshedivat / lola
  Code release for Learning with Opponent-Learning Awareness and variations.
  ☆148Updated 2 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 4 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• victorcampos7 / edl
  Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"
  ☆37Updated 5 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆86Updated 3 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 4 years ago
• kkhetarpal / ioc
  Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020
  ☆25Updated 4 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 6 years ago
• chloechsu / revisiting-ppo
  ☆47Updated 4 years ago
• nathangrinsztajn / Box-World
  Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"
  ☆46Updated last year
• jparkerholder / DvD_ES
  Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…
  ☆44Updated 4 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆55Updated last year
• Hwhitetooth / lirpg
  ☆61Updated 6 years ago
• google-research / deep_ope
  ☆85Updated 9 months ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆74Updated 3 years ago
• manantomar / Mirror-Descent-Policy-Optimization
  Mirror Descent Policy Optimization
  ☆38Updated 4 years ago
• indylab / tabular_xdo
  ☆9Updated 3 years ago
• roosephu / boots
  ☆11Updated 5 years ago
• geyang / e-maml
  E-MAML, and RL-MAML baseline implemented in Tensorflow v1
  ☆16Updated 5 years ago
• rraileanu / idaac
  ☆53Updated last year
• aa14k / Exploration-in-RL
  ☆28Updated 11 months ago
• louiskirsch / metagenrl
  MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…
  ☆67Updated 4 years ago
• yifan12wu / rl-laplacian
  Learning Laplacian Representations in Reinforcement Learning
  ☆17Updated 4 years ago
• sebascuri / hucrl
  ☆30Updated last year
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆78Updated 5 years ago
• manish-pra / copg
  This repository contains all code and experiments for competitive policy gradient (CoPG) algorithm.
  ☆24Updated 4 years ago
• rlai-lab / Regularized-GradientTD
  Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.
  ☆38Updated 4 years ago