Alternatives and similar repositories for pytorch-r2d2-DPG:

Users that are interested in pytorch-r2d2-DPG are comparing it to the libraries listed below

• junjungoal / IMPALA-pytorch
  PyTorch IMPALA implementation
  ☆25Updated 5 years ago
• ruizhaogit / EnergyBasedPrioritization
  Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)
  ☆33Updated 6 years ago
• neka-nat / distributed_rl
  Pytorch implementation of distributed deep reinforcement learning
  ☆75Updated 2 years ago
• tesslerc / GAC
  Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"
  ☆21Updated 5 years ago
• AnujMahajanOxf / MAVEN
  Submission for MAVEN: Multi-Agent Variational Exploration
  ☆56Updated 2 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆65Updated 5 years ago
• sfujim / LAP-PAL
  Author's PyTorch implementation of LAP and PAL with TD3 and DDQN
  ☆34Updated 3 years ago
• ermongroup / MetaIRL
  Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
  ☆71Updated last year
• dingyiming0427 / goalgail
  accompanying code for neurips submission "Goal-conditioned Imitation Learning"
  ☆68Updated last year
• chagmgang / pytorch_ppo_rl
  Pytorch implementation of intrinsic curiosity module with proximal policy optimization
  ☆52Updated 6 years ago
• rraileanu / idaac
  ☆54Updated 11 months ago
• kngwyu / Rainy
  Deep RL agents with PyTorch
  ☆35Updated 3 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆71Updated 7 years ago
• wendelinboehmer / dcg
  ☆73Updated 8 months ago
• deep-skill-chaining / deep-skill-chaining
  Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"
  ☆28Updated 5 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆93Updated 2 years ago
• apexrl / bmpo
  Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>
  ☆23Updated last year
• WilsonWangTHU / mbbl-metrpo
  ☆16Updated 5 years ago
• TonghanWang / EITI-EDTI
  Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)
  ☆30Updated 4 years ago
• jesbu1 / hidio
  Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options
  ☆44Updated 3 years ago
• DesikRengarajan / LOGO
  [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
  ☆26Updated 3 years ago
• jxu43 / replication-mbpo
  NeurIPS Reproducibility Challenge 2019
  ☆20Updated 4 years ago
• Knoxantropicen / model-based-meta-rl
  Self-implemented code for Model-Based Meta-Reinforcement Learning
  ☆17Updated 5 years ago
• schroederdewitt / mackrl
  Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)
  ☆33Updated 5 years ago
• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 3 years ago
• tjuHaoXiaotian / GASIL
  Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems
  ☆31Updated 6 years ago
• Hwhitetooth / lirpg
  ☆60Updated 6 years ago
• arushijain94 / SafeOptionCritic
  Safe Option-Critic: Learning Safety in the Option-Critic Architecture
  ☆20Updated 6 years ago
• yusukeurakami / plan2explore-pytorch
  ☆42Updated 4 years ago
• kpaonaut / HAAR-A-Hierarchical-RL-Algorithm
  Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
  ☆32Updated 2 years ago