Alternatives and similar repositories for selfplay

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

• montrealrobotics / active-domainrand
  Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)
  ☆101Updated 5 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆69Updated 6 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• hiwonjoon / ICML2019-TREX
  ☆86Updated 4 years ago
• deep-skill-chaining / deep-skill-chaining
  Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"
  ☆30Updated 6 years ago
• roosephu / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆55Updated 6 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆24Updated 6 years ago
• paulorauber / hpg
  Hindsight policy gradients
  ☆46Updated 6 years ago
• takuseno / d4rl-pybullet
  Datasets for data-driven deep reinforcement learning with PyBullet environments
  ☆152Updated 4 years ago
• dibyaghosh / dnc
  Code for "Divide-and-Conquer Reinforcement Learning"
  ☆62Updated 7 years ago
• zuoxingdong / dm2gym
  Convert DeepMind Control Suite to OpenAI gym environments.
  ☆87Updated 6 years ago
• toshikwa / slac.pytorch
  PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).
  ☆94Updated last year
• montrealrobotics / domain-randomizer
  A standalone library to randomize various OpenAI Gym Environments
  ☆64Updated 6 years ago
• martinseilair / dm_control2gym
  OpenAI Gym Wrapper for DeepMind Control Suite
  ☆74Updated 4 years ago
• spitis / mrl
  ☆115Updated 2 years ago
• russellmendonca / maesn_suite
  ☆44Updated 7 years ago
• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 4 years ago
• flowersteam / curious
  Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
  ☆27Updated 5 years ago
• alexlee-gk / slac
  Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
  ☆154Updated 5 years ago
• justinjfu / diagnosing_qlearning
  Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.
  ☆19Updated 6 years ago
• WilsonWangTHU / mbbl-metrpo
  ☆16Updated 6 years ago
• qxcv / magical
  The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)
  ☆78Updated 2 years ago
• VincentYu68 / policy_transfer
  ☆30Updated 5 years ago
• srsohn / msgi
  ICLR 2020 Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies
  ☆18Updated 5 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆32Updated 4 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆30Updated 6 years ago
• vitchyr / viskit
  rllab's viskit with some added features
  ☆73Updated 2 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆65Updated 6 years ago
• hu-po / pySACQ
  PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)
  ☆38Updated 4 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago