Alternatives and similar repositories for MontezumaRevenge_SDRL

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

• tianjunz / NovelD
  ☆40Updated 3 years ago
• jesbu1 / hidio
  Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options
  ☆45Updated 3 years ago
• mila-iqia / SGI
  Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)
  ☆54Updated 3 years ago
• rraileanu / policy-dynamics-value-functions
  ☆32Updated 9 months ago
• pokaxpoka / B_Pref
  ☆48Updated 2 years ago
• LunjunZhang / world-model-as-a-graph
  Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)
  ☆66Updated 3 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆24Updated 6 years ago
• rraileanu / idaac
  ☆53Updated last year
• YuhangSong / DEHRL
  Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.
  ☆50Updated 6 years ago
• IouJenLiu / PIC
  PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning
  ☆49Updated 4 years ago
• dair-iitd / torpido
  Planning using Reinforcement Learning
  ☆8Updated 6 years ago
• mengf1 / CHER
  Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)
  ☆64Updated 5 years ago
• jinala / multi-agent-neurosym-transformers
  Neurosymbolic transformers for multi-agent communication.
  ☆22Updated 4 years ago
• knowledgetechnologyuhh / goal_conditioned_RL_baselines
  ☆25Updated 2 years ago
• google-research / pisac
  Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)
  ☆44Updated 2 years ago
• bhiziroglu / Language-as-an-Abstraction-for-Hierarchical-Deep-Reinforcement-Learning
  PyTorch Implementation of "Language as an Abstraction for Hierarchical Deep Reinforcement Learning" paper
  ☆26Updated 3 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago
• valeriechen / ask-your-humans
  Dataset collection and training code for "Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning"
  ☆10Updated 2 months ago
• younggyoseo / RE3
  RE3: State Entropy Maximization with Random Encoders for Efficient Exploration
  ☆68Updated 3 years ago
• nathangrinsztajn / Box-World
  Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"
  ☆46Updated last year
• gyh75520 / Relational_DRL
  Implementation of Relational Deep Reinforcement Learning
  ☆25Updated 5 years ago
• clvrai / new-actions-rl
  ☆24Updated 10 months ago
• ml-jku / OfflineRL
  ☆31Updated 2 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆41Updated 5 years ago
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆44Updated 2 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆39Updated 8 months ago
• yalidu / liir
  Learning Individual Intrinsic Reward in MARL
  ☆62Updated 2 years ago
• jhejna / few-shot-preference-rl
  ☆35Updated 2 years ago
• IBM / pddlrl
  Reinforcement Learning for Classical Planning
  ☆11Updated 3 years ago
• camall3n / markov-state-abstractions
  Image-based gridworld experiment for learning Markov state abstractions
  ☆20Updated 9 months ago