Alternatives and similar repositories for maml_rl:

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

• tristandeleu / pytorch-maml-rl
  Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
  ☆836Updated 2 years ago
• ikostrikov / pytorch-trpo
  PyTorch implementation of Trust Region Policy Optimization
  ☆435Updated 6 years ago
• reinforcement-learning-kr / pg_travel
  Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)
  ☆370Updated 5 years ago
• katerakelly / oyster
  Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)
  ☆479Updated 2 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆417Updated last year
• Khrylx / PyTorch-RL
  PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…
  ☆1,139Updated 3 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆699Updated 6 years ago
• sfujim / BCQ
  Author's PyTorch implementation of BCQ for continuous and discrete actions
  ☆605Updated 3 years ago
• jonasrothfuss / ProMP
  Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…
  ☆234Updated 2 years ago
• junhyukoh / self-imitation-learning
  ICML 2018 Self-Imitation Learning
  ☆274Updated 4 years ago
• katerakelly / pytorch-maml
  PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
  ☆555Updated 6 years ago
• hungtuchen / pytorch-dqn
  Deep Q-Learning Network in pytorch (not actively maintained)
  ☆393Updated 7 years ago
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆402Updated 7 years ago
• navneet-nmk / pytorch-rl
  This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
  ☆442Updated 5 years ago
• jannerm / mbpo
  Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
  ☆480Updated 2 years ago
• cbfinn / maml
  Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
  ☆2,587Updated 5 years ago
• Kaixhin / Rainbow
  Rainbow: Combining Improvements in Deep Reinforcement Learning
  ☆1,599Updated 3 years ago
• iclavera / learning_to_adapt
  Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
  ☆208Updated 2 years ago
• rail-berkeley / softlearning
  Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…
  ☆1,257Updated last year
• WilsonWangTHU / mbbl
  ☆389Updated 5 years ago
• ikostrikov / pytorch-ddpg-naf
  Implementation of algorithms for continuous control (DDPG and NAF).
  ☆306Updated 3 years ago
• ghliu / pytorch-ddpg
  Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
  ☆582Updated 6 years ago
• pranz24 / pytorch-soft-actor-critic
  PyTorch implementation of soft actor critic
  ☆848Updated 3 years ago
• justinjfu / inverse_rl
  ☆267Updated 6 years ago
• ikostrikov / pytorch-a3c
  PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
  ☆1,242Updated 5 years ago
• qfettes / DeepRL-Tutorials
  Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
  ☆1,056Updated 3 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆361Updated 4 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆888Updated 4 years ago
• reinforcement-learning-kr / lets-do-irl
  Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
  ☆728Updated last year
• kchua / handful-of-trials
  Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
  ☆440Updated last year