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"
  ☆611Updated last year
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆999Updated 6 years ago
• google-deepmind / ai-safety-gridworlds
  This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
  ☆614Updated 2 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,106Updated 7 years ago
• openai / large-scale-curiosity
  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
  ☆810Updated 3 years ago
• google-deepmind / spriteworld
  Spriteworld: a flexible, configurable python-based reinforcement learning environment
  ☆370Updated 4 years ago
• google-deepmind / dqn
  Lua/Torch implementation of DQN (Nature, 2015)
  ☆594Updated 7 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆626Updated 6 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆892Updated 4 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆967Updated 6 years ago
• openai / vime
  Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
  ☆342Updated 6 years ago
• openai / multiagent-competition
  Code for the paper "Emergent Complexity via Multi-agent Competition"
  ☆811Updated last year
• openai / coinrun
  Code for the paper "Quantifying Transfer in Reinforcement Learning"
  ☆399Updated last year
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆402Updated 8 years ago
• worldmodels / worldmodels.github.io
  World Models
  ☆443Updated 4 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆362Updated 4 years ago
• openai / spinningup-workshop
  For educational materials related to the spinning up workshops.
  ☆199Updated 6 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆702Updated 6 years ago
• openai / evolution-strategies-starter
  Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
  ☆1,583Updated 5 years ago
• MultiAgentLearning / playground
  PlayGround: AI Research into Multi-Agent Learning.
  ☆769Updated last year
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,427Updated 2 years ago
• modestyachts / ARS
  An implementation of the Augmented Random Search algorithm
  ☆421Updated 3 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆660Updated 5 years ago
• zuoxingdong / lagom
  lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
  ☆374Updated 2 years ago
• google-research / planet
  Learning Latent Dynamics for Planning from Pixels
  ☆1,188Updated last year
• openai / robosumo
  Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"
  ☆307Updated last year
• openai / EPG
  Code for the paper "Evolved Policy Gradients"
  ☆250Updated 6 years ago
• google-deepmind / hanabi-learning-environment
  hanabi_learning_environment is a research platform for Hanabi experiments.
  ☆649Updated 2 years ago
• uber-research / go-explore
  Code for Go-Explore: a New Approach for Hard-Exploration Problems
  ☆561Updated 2 years ago
• hardmaru / estool
  Evolution Strategies Tool
  ☆947Updated 2 years ago