Alternatives and similar repositories for Hindsight-Experience-Replay-and-Hierarchical-Reinforcement-Learning:

Users that are interested in Hindsight-Experience-Replay-and-Hierarchical-Reinforcement-Learning are comparing it to the libraries listed below

• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆38Updated 2 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• yuchen-x / MacroMARL
  ☆21Updated last year
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 6 months ago
• RomainLaroche / SPIBB
  Safe Policy Improvement with Baseline Bootstrapping
  ☆26Updated 5 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago
• arushijain94 / SafeOptionCritic
  Safe Option-Critic: Learning Safety in the Option-Critic Architecture
  ☆20Updated 6 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 4 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 5 years ago
• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆28Updated 5 years ago
• KyriacosShiarli / taco
  ☆25Updated 6 years ago
• StanfordASL / BaRC
  Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…
  ☆12Updated 6 years ago
• schroederdewitt / mackrl
  Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)
  ☆33Updated 5 years ago
• roosephu / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆55Updated 5 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 5 years ago
• dsbrown1331 / bayesianrex
  ☆19Updated 4 years ago
• tesatory / selfplay
  Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
  ☆14Updated 7 years ago
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆32Updated 5 years ago
• sebascuri / hucrl
  ☆30Updated last year
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆27Updated 6 years ago
• koulanurag / dream-and-search
  Code for "Dream and Search to Control: Latent Space Planning for Continuous Control"
  ☆11Updated 3 years ago
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆40Updated 2 years ago
• xkianteb / dril
  Disagreement-Regularized Imitation Learning
  ☆30Updated 3 years ago
• ben-eysenbach / mnm
  Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"
  ☆21Updated 3 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• ElisevanderPol / mdp-homomorphic-networks
  ☆29Updated 4 years ago
• flowersteam / curious
  Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
  ☆27Updated 4 years ago
• resibots / chatzilygeroudis_2018_rte
  Code for the Reset-free Trial and Error learning paper (RTE) experiments
  ☆10Updated 7 years ago
• russellmendonca / GMPS
  Guided-Meta Policy Search
  ☆40Updated 2 years ago