Alternatives and similar repositories for treeqn

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

• google-research / dice_rl
  ☆106Updated last year
• RLAgent / gated-path-planning-networks
  Gated Path Planning Networks (ICML 2018)
  ☆183Updated 6 years ago
• higgsfield / Imagination-Augmented-Agents
  Building Agents with Imagination: pytorch step-by-step implementation
  ☆209Updated 6 years ago
• lmb-freiburg / td-or-not-td
  Code for the paper "TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning", Artemij Amiranashvili, Ale…
  ☆12Updated 6 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆152Updated 7 years ago
• devendrachaplot / DeepRL-Grounding
  Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)
  ☆236Updated 7 years ago
• junhyukoh / value-prediction-network
  NIPS 2017 Value Prediction Network
  ☆166Updated 7 years ago
• pathak22 / exploration-by-disagreement
  [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
  ☆126Updated 6 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• Silvicek / distributional-dqn
  Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…
  ☆132Updated 6 years ago
• nathangrinsztajn / Box-World
  Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"
  ☆46Updated last year
• thanard / causal-infogan
  ☆86Updated 6 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆79Updated 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
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 5 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 6 years ago
• pathak22 / modular-assemblies
  [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"
  ☆116Updated 5 years ago
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 7 years ago
• jacobandreas / psketch
  Modular multitask reinforcement learning with policy sketches
  ☆110Updated 4 years ago
• zuoxingdong / lagom
  lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
  ☆376Updated 2 years ago
• mbchang / crl
  Automatically Composing Representation Transformations as a Means for Generalization
  ☆24Updated 6 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆87Updated 6 years ago
• Kaixhin / spinning-up-basic
  Basic versions of agents from Spinning Up in Deep RL written in PyTorch
  ☆204Updated 4 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆136Updated 3 years ago
• junhyukoh / self-imitation-learning
  ICML 2018 Self-Imitation Learning
  ☆278Updated 5 years ago
• russellmendonca / maesn_suite
  ☆43Updated 6 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆67Updated 7 years ago
• aravindsrinivas / upn
  ☆33Updated 7 years ago
• activatedgeek / torchrl
  Highly Modular and Scalable Reinforcement Learning
  ☆116Updated 5 years ago
• itaicaspi / mgail
  Model-Based Generative Adversarial Imitation Learning
  ☆89Updated 4 years ago