Alternatives and similar repositories for RandomizedValueFunctions

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

• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆79Updated 6 years ago
• 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
• russellmendonca / maesn_suite
  ☆44Updated 7 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
• dilinwang820 / adaptive-f-divergence
  A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"
  ☆20Updated 6 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 6 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 5 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 7 years ago
• FerranAlet / modular-metalearning
  ☆78Updated 4 years ago
• alexis-jacq / LOLA_DiCE
  Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
  ☆96Updated 7 years ago
• KAIST-AILab / gmmil
  Contains an implementation of "Imitation Learning via Kernel Mean Embedding (2018, AAAI)"
  ☆11Updated 7 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 4 years ago
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 5 years ago
• pathak22 / exploration-by-disagreement
  [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
  ☆129Updated 6 years ago
• RuohanW / RED
  Implementation of Random Expert Distillation
  ☆29Updated 6 years ago
• google-research / dice_rl
  ☆111Updated last year
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 years ago
• tgangwani / SelfImitationDiverse
  Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)
  ☆20Updated 5 years ago
• wyndwarrior / Sectar
  Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
  ☆96Updated 7 years ago
• KyriacosShiarli / taco
  ☆25Updated 6 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 7 years ago
• largelymfs / svpg_REINFORCE
  Stein Variational Policy Gradient for REINFORCE
  ☆18Updated 8 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆24Updated 6 years ago
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆97Updated 5 years ago
• thanard / causal-infogan
  ☆85Updated 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".
  ☆64Updated 2 years ago
• itaicaspi / mgail
  Model-Based Generative Adversarial Imitation Learning
  ☆89Updated 4 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆44Updated 7 years ago
• thjashin / gp-infer-net
  Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019
  ☆42Updated 3 years ago