Alternatives and similar repositories for learning_environments

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

• mila-iqia / Conscious-Planning
  Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".
  ☆59Updated last year
• intel / cerl
  ☆71Updated 3 years ago
• proroklab / adversarial_comms
  ☆32Updated 4 years ago
• jcoreyes / evolvingrl
  Supplementary Data for Evolving Reinforcement Learning Algorithms
  ☆47Updated 4 years ago
• BY571 / Munchausen-RL
  PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
  ☆45Updated 5 years ago
• ElisevanderPol / symmetrizer
  ☆32Updated 4 years ago
• yfletberliac / adversarially-guided-actor-critic
  AGAC: Adversarially Guided Actor-Critic
  ☆47Updated 4 years ago
• mbchang / decentralized-rl
  Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)
  ☆43Updated 3 years ago
• google-deepmind / active_ops
  ☆33Updated last year
• google-deepmind / affordances_option_models
  ☆23Updated 4 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆32Updated 5 years ago
• google-research / pisac
  Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)
  ☆45Updated 2 years ago
• google-research / deep_ope
  ☆89Updated last year
• znowu / mirror-learning
  The code for experiments conducted to verify the correctness of mirror learning.
  ☆11Updated 3 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• tessavdheiden / social_empowerment
  ☆18Updated last year
• 0xangelo / raylab
  Reinforcement learning algorithms in RLlib
  ☆59Updated last year
• harvard-edge / QuaRL
  QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.
  ☆78Updated 2 years ago
• Stanford-ILIAD / Conventions-ModularPolicy
  PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021
  ☆15Updated 4 years ago
• icaros-usc / dqd-rl
  Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"
  ☆21Updated 3 years ago
• google-research / reincarnating_rl
  [NeurIPS 2022] Open source code for reusing prior computational work in RL.
  ☆98Updated 2 years ago
• uoe-agents / GPL
  Codebase for the Graph-based Policy Learning algorithm, which is designed for learning policies to solve the open ad hoc teamwork problem…
  ☆35Updated 4 years ago
• facebookresearch / how-to-autorl
  Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…
  ☆85Updated 2 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• Miffyli / rl-action-space-shaping
  Experiment code for testing effect of various action space transformations in reinforcement learning
  ☆30Updated 5 years ago
• BY571 / Upside-Down-Reinforcement-Learning
  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
  ☆78Updated 5 years ago
• hsvgbkhgbv / shapley-q-learning
  This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.
  ☆51Updated 2 years ago
• zwfightzw / Meta-Critic
  ☆11Updated 5 years ago
• facebookresearch / mtenv
  MultiTask Environments for Reinforcement Learning.
  ☆79Updated 3 years ago
• microsoft / strategically_efficient_rl
  More efficient exploration for reinforcement learning in two-player, zero-sum game
  ☆21Updated last year