Alternatives and similar repositories for rllab-curriculum

Users that are interested in rllab-curriculum are comparing it to the libraries listed below

• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆65Updated 6 years ago
• vitchyr / multiworld
  Multitask Environments for RL
  ☆280Updated 4 years ago
• thanard / me-trpo
  ☆92Updated 2 years ago
• alexlee-gk / slac
  Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
  ☆154Updated 5 years ago
• vitchyr / viskit
  rllab's viskit with some added features
  ☆73Updated 2 years ago
• ruizhaogit / EnergyBasedPrioritization
  Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)
  ☆35Updated 7 years ago
• ben-eysenbach / sac
  Soft Actor-Critic
  ☆156Updated 7 years ago
• hu-po / pySACQ
  PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)
  ☆38Updated 4 years ago
• KamyarGh / rl_swiss
  ☆66Updated 5 years ago
• paulorauber / hpg
  Hindsight policy gradients
  ☆46Updated 5 years ago
• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• YuhangSong / DEHRL
  Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.
  ☆50Updated 6 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆69Updated 6 years ago
• dibyaghosh / dnc
  Code for "Divide-and-Conquer Reinforcement Learning"
  ☆61Updated 7 years ago
• martinseilair / dm_control2gym
  OpenAI Gym Wrapper for DeepMind Control Suite
  ☆74Updated 4 years ago
• mengf1 / CHER
  Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)
  ☆67Updated 5 years ago
• dingyiming0427 / goalgail
  accompanying code for neurips submission "Goal-conditioned Imitation Learning"
  ☆73Updated 2 years ago
• Hwhitetooth / lirpg
  ☆62Updated 7 years ago
• ashedwards / ILPO
  Official implementation of ICML paper Imitating Latent Policies from Observation
  ☆75Updated 6 years ago
• montrealrobotics / active-domainrand
  Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)
  ☆101Updated 5 years ago
• spitis / mrl
  ☆114Updated 2 years ago
• iclavera / learning_to_adapt
  Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
  ☆217Updated 3 years ago
• jangirrishabh / Overcoming-exploration-from-demos
  Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines fro…
  ☆154Updated 4 years ago
• ermongroup / InfoGAIL
  Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
  ☆42Updated 8 years ago
• sharadmv / parasol
  ☆68Updated 4 years ago
• montrealrobotics / domain-randomizer
  A standalone library to randomize various OpenAI Gym Environments
  ☆64Updated 6 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆74Updated 8 years ago
• aviralkumar2907 / BEAR
  Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
  ☆163Updated 5 years ago
• jeanharb / option_critic
  Implementation of the Option-Critic Architecture on the Atari (ALE) environment
  ☆182Updated 8 years ago
• jonasrothfuss / ProMP
  Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…
  ☆246Updated 3 years ago