Alternatives and similar repositories for reinforcement-learning-material-ws-2018

Users that are interested in reinforcement-learning-material-ws-2018 are comparing it to the libraries listed below

• famura / SimuRLacra
  reinforcement learning from randomized simulations
  ☆69Updated 3 months ago
• famura / BellaFigura
  A workflow showing how to combine Inkscape and LaTeX to obtain figures that match your document better
  ☆24Updated 4 years ago
• MushroomRL / mushroom-rl-benchmark
  Benchmarking suite for MushroomRL Deep RL algorithms
  ☆15Updated last year
• hanyas / sds
  A toolbox for inference of switching systems for control
  ☆13Updated 3 years ago
• danielpalenicek / value_expansion
  ☆15Updated 2 years ago
• theogruner / rl_pro_telu
  ☆22Updated 4 years ago
• jaztsong / PILCO-gpytorch
  ☆35Updated 5 years ago
• hanyas / reps
  Implementation of different Relative Entropy Policy Search flavors
  ☆13Updated 3 years ago
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated 2 years ago
• montrealrobotics / domain-randomizer
  A standalone library to randomize various OpenAI Gym Environments
  ☆63Updated 5 years ago
• martius-lab / GateL0RD
  Code for our NeurIPS 2021 paper: Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains
  ☆22Updated 2 years ago
• nicklashansen / policy-adaptation-during-deployment
  Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
  ☆114Updated 4 years ago
• sebascuri / hucrl
  ☆30Updated last year
• VincentYu68 / policy_transfer
  ☆28Updated 5 years ago
• qxcv / magical
  The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)
  ☆77Updated last year
• edlanglois / mbbl-pilco
  Implementation of PILCO for the Model-Based Baselines Project
  ☆18Updated 5 years ago
• shikharbahl / neural-dynamic-policies
  ☆68Updated 4 years ago
• sholtodouglas / pointMass
  pointMass pybullet RL environment for simple experiments
  ☆23Updated 3 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated 2 years ago
• hai-h-nguyen / belief-grounded-network
  [CoRL 2020] Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability
  ☆9Updated 3 years ago
• sharadmv / parasol
  ☆68Updated 3 years ago
• paulorauber / hpg
  Hindsight policy gradients
  ☆45Updated 5 years ago
• Stanford-ILIAD / Confidence-Aware-Imitation-Learning
  ☆39Updated 3 years ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆57Updated last year
• twni2016 / f-IRL
  Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020
  ☆45Updated last year
• montrealrobotics / active-domainrand
  Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)
  ☆98Updated 4 years ago
• robotgradient / iflow
  ☆22Updated 4 years ago
• natolambert / continuousprediction
  Formulating Model-based RL Dynamics as a continuous rather then one step prediction
  ☆35Updated 2 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆55Updated last year
• d3sm0 / gym_pomdp
  Gym-like extensions for POMDP
  ☆57Updated 4 years ago