Alternatives and similar repositories for RandomizedValueFunctions

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

• StanfordVL / ac-teach
  Code for the CoRL 2019 paper AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers
  ☆24Updated 2 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆79Updated 6 years ago
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 years ago
• tuananhle7 / aesmc
  Library for Auto-Encoding Sequential Monte Carlo
  ☆18Updated last year
• dilinwang820 / adaptive-f-divergence
  A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"
  ☆21Updated 6 years ago
• tgangwani / SelfImitationDiverse
  Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)
  ☆20Updated 4 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 5 years ago
• DavidJanz / successor_uncertainties_atari
  Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…
  ☆21Updated 2 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 4 years ago
• google-research / dice_rl
  ☆106Updated last year
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 5 years ago
• pokaxpoka / netrand
  Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020
  ☆54Updated 5 years ago
• russellmendonca / maesn_suite
  ☆43Updated 6 years ago
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆63Updated last year
• google-research / deep_ope
  ☆86Updated last year
• mcmachado / options
  ☆43Updated 8 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 5 years ago
• Pervasive-AI-Lab / crlmaze
  Continual Reinforcement Learning in 3D Non-stationary Environments
  ☆38Updated 6 years ago
• wyndwarrior / Sectar
  Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
  ☆96Updated 7 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• KAIST-AILab / gmmil
  Contains an implementation of "Imitation Learning via Kernel Mean Embedding (2018, AAAI)"
  ☆11Updated 6 years ago
• FerranAlet / modular-metalearning
  ☆78Updated 4 years ago
• rraileanu / auto-drac
  Automatic Data-Regularized Actor-Critic (Auto-DrAC)
  ☆102Updated 2 years ago
• pomonam / NoisyNaturalGradient
  TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
  ☆60Updated 6 years ago
• tkipf / compile
  CompILE: Compositional Imitation Learning and Execution (ICML 2019)
  ☆112Updated 6 years ago
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆97Updated 4 years ago
• KyriacosShiarli / taco
  ☆25Updated 6 years ago
• zafarali / policy-gradient-methods
  Modular PyTorch implementation of policy gradient methods
  ☆25Updated 6 years ago
• frt03 / pic
  Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning (ICML2021)
  ☆8Updated 4 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago