Alternatives and similar repositories for pycolab:

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

• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆613Updated last year
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆1,003Updated 6 years ago
• google-deepmind / ai-safety-gridworlds
  This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
  ☆612Updated 2 years ago
• MultiAgentLearning / playground
  PlayGround: AI Research into Multi-Agent Learning.
  ☆769Updated last year
• openai / large-scale-curiosity
  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
  ☆814Updated 3 years ago
• google-deepmind / spriteworld
  Spriteworld: a flexible, configurable python-based reinforcement learning environment
  ☆369Updated 4 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆967Updated 6 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,430Updated 2 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,109Updated 7 years ago
• openai / vime
  Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
  ☆342Updated 6 years ago
• zuoxingdong / lagom
  lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
  ☆375Updated 2 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆894Updated 4 years ago
• openai / coinrun
  Code for the paper "Quantifying Transfer in Reinforcement Learning"
  ☆399Updated last year
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆656Updated 5 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆361Updated 4 years ago
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆403Updated 8 years ago
• openai / gym-soccer
  ☆303Updated 2 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆629Updated 6 years ago
• uber-research / go-explore
  Code for Go-Explore: a New Approach for Hard-Exploration Problems
  ☆566Updated 2 years ago
• openai / multiagent-competition
  Code for the paper "Emergent Complexity via Multi-agent Competition"
  ☆813Updated 2 years ago
• google-deepmind / hanabi-learning-environment
  hanabi_learning_environment is a research platform for Hanabi experiments.
  ☆651Updated 2 years ago
• MillionIntegrals / vel
  Velocity in deep-learning research
  ☆277Updated 2 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆710Updated 6 years ago
• crowdAI / marLo
  Multi Agent Reinforcement Learning using MalmÖ
  ☆251Updated 5 years ago
• hardmaru / WorldModelsExperiments
  World Models Experiments
  ☆639Updated 2 years ago
• unixpickle / anyrl-py
  A reinforcement learning framework
  ☆155Updated 6 years ago
• atgambardella / pytorch-es
  Evolution Strategies in PyTorch
  ☆351Updated 7 years ago
• openai / atari-py
  A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface
  ☆382Updated last year
• kengz / openai_lab
  An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
  ☆326Updated 7 years ago
• Breakend / gym-extensions
  This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement le…
  ☆215Updated 5 years ago