Alternatives and similar repositories for UCRL

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

• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆67Updated 7 years ago
• iosband / TabulaRL
  ☆65Updated last year
• 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
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 7 years ago
• alshedivat / lola
  Code release for Learning with Opponent-Learning Awareness and variations.
  ☆149Updated 2 years ago
• mcmachado / options
  ☆43Updated 8 years ago
• florensacc / snn4hrl
  Stochastic Neural Networks for Hierarchical Reinforcement Learning
  ☆95Updated 7 years ago
• tmoer / multimodal_varinf
  Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".
  ☆35Updated 7 years ago
• Silvicek / distributional-dqn
  Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…
  ☆132Updated 6 years ago
• Officium / RL-Experiments
  High-quality implementations of deep reinforcement learning algorithms for experiments
  ☆51Updated last year
• EndingCredits / Neural-Episodic-Control
  Implementation of Deepmind's Neural Episodic Control
  ☆58Updated 7 years ago
• jeanharb / a2oc_delib
  A3C style Option-Critic with deliberation cost
  ☆39Updated 7 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 4 years ago
• aravindr93 / robustRL
  Robust policy search algorithms which train on model ensembles
  ☆30Updated 8 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆153Updated 8 years ago
• wulfebw / hierarchical_rl
  hierarchical deep reinforcement learning algorithms
  ☆41Updated 7 years ago
• chrodan / tdlearn
  some common TD Learning algorithms
  ☆66Updated 5 years ago
• yfletberliac / rlss-2019
  Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
  ☆90Updated 6 years ago
• flowersteam / geppg
  ☆35Updated 7 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆71Updated 8 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
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 7 years ago
• geek-ai / 1m-agents
  A platform of grid world that supports up to 1 million reinforcement-learning agents.
  ☆69Updated 8 years ago
• kimhc6028 / pytorch-noreward-rl
  pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
  ☆80Updated 6 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 4 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 6 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆87Updated 6 years ago
• siemens / policy_search_bb-alpha
  ☆69Updated 7 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago