Alternatives and similar repositories for prob_mbrl

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

• WilsonWangTHU / POPLIN
  ☆99Updated 2 years ago
• thanard / me-trpo
  ☆92Updated 2 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆139Updated 3 years ago
• alexlee-gk / slac
  Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
  ☆154Updated 5 years ago
• montrealrobotics / active-domainrand
  Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)
  ☆101Updated 5 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆80Updated 6 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆65Updated 6 years ago
• quanvuong / handful-of-trials-pytorch
  Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆194Updated 3 years ago
• hiwonjoon / ICML2019-TREX
  ☆85Updated 4 years ago
• russellmendonca / GMPS
  Guided-Meta Policy Search
  ☆39Updated 2 years ago
• dibyaghosh / dnc
  Code for "Divide-and-Conquer Reinforcement Learning"
  ☆61Updated 7 years ago
• implementation-matters / code-for-paper
  ☆113Updated 6 years ago
• iclavera / learning_to_adapt
  Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
  ☆217Updated 3 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆95Updated 3 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆35Updated 6 years ago
• ermongroup / MetaIRL
  Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
  ☆76Updated 2 years ago
• ahq1993 / inverse_rl
  Adversarial Imitation Via Variational Inverse Reinforcement Learning
  ☆96Updated 6 years ago
• cjm715 / mgym
  A collection of multi-agent reinforcement learning OpenAI gym environments
  ☆46Updated 5 years ago
• roosephu / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆55Updated 6 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 7 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago
• johannah / bootstrap_dqn
  Implementation of Bootstrap DQN and Randomized Prior Functions on ALE
  ☆56Updated 10 months ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆69Updated 6 years ago
• chloechsu / revisiting-ppo
  ☆47Updated 5 years ago
• Knoxantropicen / model-based-meta-rl
  Self-implemented code for Model-Based Meta-Reinforcement Learning
  ☆17Updated 6 years ago
• russellmendonca / maesn_suite
  ☆44Updated 7 years ago
• lerrel / gym-adv
  Gym environments modified with adversarial agents
  ☆36Updated 8 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago