Alternatives and similar repositories for batch-ppo:

Users that are interested in batch-ppo are comparing it to the libraries listed below

• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,105Updated 7 years ago
• carpedm20 / deep-rl-tensorflow
  TensorFlow implementation of Deep Reinforcement Learning papers
  ☆1,588Updated 6 years ago
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆995Updated 5 years ago
• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆611Updated last year
• miyosuda / async_deep_reinforce
  Asynchronous Methods for Deep Reinforcement Learning
  ☆590Updated 6 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,423Updated 2 years ago
• tambetm / simple_dqn
  Simple deep Q-learning agent.
  ☆697Updated 5 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆658Updated 4 years ago
• rll / rllab
  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
  ☆2,936Updated last year
• yukezhu / tensorflow-reinforce
  Implementations of Reinforcement Learning Models in Tensorflow
  ☆485Updated 7 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆700Updated 6 years ago
• coreylynch / async-rl
  Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"
  ☆1,014Updated 6 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆625Updated 6 years ago
• openai / evolution-strategies-starter
  Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
  ☆1,581Updated 5 years ago
• hi-abhi / tensorflow-value-iteration-networks
  TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper
  ☆553Updated 5 years ago
• kengz / openai_lab
  An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
  ☆326Updated 7 years ago
• openai / universe-starter-agent
  A starter agent that can solve a number of universe environments.
  ☆1,098Updated 6 years ago
• muupan / deep-reinforcement-learning-papers
  A list of papers and resources dedicated to deep reinforcement learning
  ☆835Updated 8 years ago
• google-deepmind / pycolab
  A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…
  ☆657Updated 5 years ago
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆402Updated 7 years ago
• muupan / async-rl
  Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
  ☆401Updated 7 years ago
• jaromiru / AI-blog
  Accompanying repository for Let's make a DQN / A3C series.
  ☆394Updated 6 years ago
• pemami4911 / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆299Updated 5 years ago
• IntelLabs / coach
  Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
  ☆2,337Updated 2 years ago
• jingweiz / pytorch-rl
  Deep Reinforcement Learning with pytorch & visdom
  ☆798Updated 4 years ago
• geek-ai / MAgent
  A Platform for Many-Agent Reinforcement Learning
  ☆1,711Updated 2 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆361Updated 4 years ago
• google-deepmind / dqn
  Lua/Torch implementation of DQN (Nature, 2015)
  ☆593Updated 7 years ago
• ml-jku / baselines-rudder
  RUDDER for ATARI games with delayed rewards in OpenAI Baselines package
  ☆266Updated 5 years ago
• miyosuda / unreal
  Reinforcement learning with unsupervised auxiliary tasks
  ☆416Updated 6 years ago