openai / imitation

Related projects ⓘ

Alternatives and complementary repositories for imitation

• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆620Updated 6 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆416Updated 11 months ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆360Updated 4 years ago
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆400Updated 7 years ago
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆987Updated 5 years ago
• stevenpjg / ddpg-aigym
  Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…
  ☆275Updated 6 years ago
• miyosuda / async_deep_reinforce
  Asynchronous Methods for Deep Reinforcement Learning
  ☆592Updated 6 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,099Updated 7 years ago
• openai / vime
  Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
  ☆341Updated 5 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,419Updated last year
• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆614Updated last year
• jingweiz / pytorch-rl
  Deep Reinforcement Learning with pytorch & visdom
  ☆797Updated 4 years ago
• yrlu / irl-imitation
  Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
  ☆589Updated 6 months ago
• floodsung / DDPG
  Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
  ☆555Updated 3 years ago
• openai / gym-soccer
  ☆305Updated last year
• dgriff777 / rl_a3c_pytorch
  A3C LSTM Atari with Pytorch plus A3G design
  ☆562Updated last year
• pemami4911 / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆297Updated 5 years ago
• rmst / ddpg
  TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)
  ☆211Updated 6 years ago
• iassael / learning-to-communicate
  Learning to Communicate with Deep Multi-Agent Reinforcement Learning
  ☆436Updated 5 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆655Updated 4 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆968Updated 5 years ago
• ikostrikov / pytorch-ddpg-naf
  Implementation of algorithms for continuous control (DDPG and NAF).
  ☆307Updated 3 years ago
• miyosuda / unreal
  Reinforcement learning with unsupervised auxiliary tasks
  ☆416Updated 5 years ago
• 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
• jachiam / cpo
  Constrained Policy Optimization
  ☆307Updated 7 years ago
• jaromiru / AI-blog
  Accompanying repository for Let's make a DQN / A3C series.
  ☆391Updated 6 years ago
• Khrylx / PyTorch-RL
  PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…
  ☆1,107Updated 3 years ago
• ikostrikov / pytorch-trpo
  PyTorch implementation of Trust Region Policy Optimization
  ☆433Updated 6 years ago
• muupan / async-rl
  Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
  ☆400Updated 7 years ago
• yukezhu / tensorflow-reinforce
  Implementations of Reinforcement Learning Models in Tensorflow
  ☆487Updated 7 years ago