mpatacchiola / dissecting-reinforcement-learning

Related projects ⓘ

Alternatives and complementary repositories for dissecting-reinforcement-learning

• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,099Updated 7 years ago
• kengz / SLM-Lab
  Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
  ☆1,256Updated 2 years ago
• sudharsan13296 / Hands-On-Reinforcement-Learning-With-Python
  Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
  ☆839Updated 4 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,419Updated last year
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆690Updated 5 years ago
• araffin / rl-baselines-zoo
  A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
  ☆1,133Updated 2 years ago
• TianhongDai / reinforcement-learning-algorithms
  This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…
  ☆666Updated 3 years ago
• rail-berkeley / rlkit
  Collection of reinforcement learning algorithms
  ☆2,504Updated 5 months ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆360Updated 4 years ago
• dalmia / David-Silver-Reinforcement-learning
  Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
  ☆786Updated 2 years ago
• qfettes / DeepRL-Tutorials
  Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
  ☆1,054Updated 3 years ago
• pemami4911 / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆297Updated 5 years ago
• geek-ai / MAgent
  A Platform for Many-Agent Reinforcement Learning
  ☆1,693Updated 2 years ago
• vmayoral / basic_reinforcement_learning
  An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
  ☆1,104Updated last year
• google-deepmind / dqn
  Lua/Torch implementation of DQN (Nature, 2015)
  ☆589Updated 7 years ago
• JKCooper2 / rlai-exercises
  Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]
  ☆106Updated 2 years ago
• rlcode / reinforcement-learning
  Minimal and Clean Reinforcement Learning Examples
  ☆3,375Updated last year
• rll / rllab
  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
  ☆2,911Updated last year
• rail-berkeley / softlearning
  Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…
  ☆1,222Updated 11 months ago
• keon / deep-q-learning
  Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
  ☆1,285Updated 3 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆620Updated 6 years ago
• Shmuma / ptan
  PyTorch Agent Net: reinforcement learning toolkit for pytorch
  ☆529Updated 3 weeks ago
• yukezhu / tensorflow-reinforce
  Implementations of Reinforcement Learning Models in Tensorflow
  ☆487Updated 7 years ago
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆400Updated 7 years ago
• berkeleydeeprlcourse / homework
  Assignments for CS294-112.
  ☆1,567Updated last year
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆968Updated 5 years ago
• Kaixhin / Rainbow
  Rainbow: Combining Improvements in Deep Reinforcement Learning
  ☆1,585Updated 2 years ago
• higgsfield / RL-Adventure
  Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
  ☆3,034Updated 3 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆416Updated 11 months ago
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆987Updated 5 years ago