Alternatives and similar repositories for DeepRL

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

• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 6 years ago
• seungjaeryanlee / rl-exploration
  Reinforcement Learning papers on exploration methods.
  ☆19Updated 4 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆71Updated 8 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• yfletberliac / adversarially-guided-actor-critic
  AGAC: Adversarially Guided Actor-Critic
  ☆48Updated 3 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆28Updated 6 years ago
• flowersteam / geppg
  ☆35Updated 6 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆95Updated 2 years ago
• junjungoal / IMPALA-pytorch
  PyTorch IMPALA implementation
  ☆26Updated 5 years ago
• TomZahavy / GrayingTheBox
  Code implementation of: "Graying the black box: Understanding DQNs"
  ☆20Updated 8 years ago
• louiskirsch / metagenrl
  MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…
  ☆67Updated 5 years ago
• localminimum / hindsight-experience-replay
  Hindsight Experience Replay - Bit flipping experiment in Tensorflow
  ☆58Updated 6 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 6 years ago
• kngwyu / Rainy
  Deep RL agents with PyTorch
  ☆35Updated 3 years ago
• jonasrothfuss / model_ensemble_meta_learning
  Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
  ☆44Updated 6 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆66Updated 5 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago
• hiwonjoon / ICML2019-TREX
  ☆83Updated 4 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• victorcampos7 / edl
  Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"
  ☆36Updated 5 years ago
• tessavdheiden / social_empowerment
  ☆17Updated 11 months ago
• djstrouse / InfoMARL
  using information theory to encourage agents to cooperate and compete
  ☆19Updated 6 years ago
• ewanlee / ICLR2019-RL-Papers
  The Reinforcement-Learning-Related Papers of ICLR 2019
  ☆47Updated 6 years ago
• xkianteb / dril
  Disagreement-Regularized Imitation Learning
  ☆30Updated 4 years ago
• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆28Updated 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".
  ☆61Updated last year
• carloderamo / shared
  ☆30Updated 3 years ago
• DuaneNielsen / rnd
  Exploration by Random Network Distillation
  ☆15Updated 6 years ago
• tjuHaoXiaotian / GASIL
  Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems
  ☆31Updated 6 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago