Alternatives and similar repositories for PEPG-ES:

Users that are interested in PEPG-ES are comparing it to the libraries listed below

• goktug97 / nes-torch
  Minimal PyTorch Library for Natural Evolution Strategies
  ☆17Updated 3 years ago
• BY571 / Munchausen-RL
  PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
  ☆45Updated 4 years ago
• JorgeCeja / evolution-strategies
  🦾Distributed Natural Evolution Strategies Build with PyTorch and Ray
  ☆17Updated 6 years ago
• pairlab / d2rl
  Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"
  ☆38Updated 4 years ago
• karush17 / Evolution-Strategies-PyTorch
  Implementation of OpenAI's Evolution Strategies in PyTorch.
  ☆20Updated 5 years ago
• icaros-usc / dqd-rl
  Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"
  ☆19Updated 2 years ago
• timoklein / alphazero-gym
  AlphaZero for continuous control tasks
  ☆23Updated 2 years ago
• cqian19 / qmix-plus
  Improving upon state of the art cooperative deep reinforcement learning in StarCraft II
  ☆13Updated 5 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆28Updated 2 years ago
• philipjball / SAC_PyTorch
  🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation
  ☆38Updated 3 years ago
• kachayev / gym-microrts-paper-sb3
  RL agent to play μRTS with Stable-Baselines3 and PyTorch
  ☆26Updated 3 years ago
• sebastianrisi / ga-world-models
  ☆20Updated 5 years ago
• soumik12345 / DDPG
  Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control
  ☆26Updated 2 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆55Updated 4 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• two2tee / WorldModelPlanning
  ☆16Updated 4 years ago
• jinPrelude / simple-es
  Simple implementations of multi-agent evolutionary strategies using pytorch.
  ☆16Updated 3 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 8 months ago
• alex-petrenko / curious-rl
  Curiosity-driven Exploration by Self-supervised Prediction
  ☆19Updated 5 years ago
• uber-research / Evolvability-ES
  ☆14Updated 5 years ago
• lili-chen / SEER
  Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.
  ☆21Updated 4 years ago
• ElisevanderPol / PRAE
  Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
  ☆30Updated 4 years ago
• RobertTLange / minimal-meta-rl
  Minimal A2C/A3C example of an LSTM-based meta-learner.
  ☆13Updated 4 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 4 years ago
• mjanschek / pytorch_seed_rl
  A PyTorch implementation of SEED, originally created by Google Research for TensorFlow 2.
  ☆14Updated 4 years ago
• TrentBrick / RewardConditionedUDRL
  Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies
  ☆18Updated 4 years ago
• AnujMahajanOxf / VIREL
  Code for VIREL: A Variational Inference Framework for Reinforcement Learning
  ☆14Updated 5 years ago
• A-make / NES
  OpenAI gym agents learning using Natural Evolution Strategies (NES)
  ☆10Updated 4 years ago
• gabrieledcjr / DeepRL
  ☆18Updated 6 years ago
• epignatelli / discovering-reinforcement-learning-algorithms
  A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…
  ☆21Updated 4 years ago