Alternatives and similar repositories for pycolab

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

• MultiAgentLearning / playground
  PlayGround: AI Research into Multi-Agent Learning.
  ☆772Updated last year
• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆618Updated 2 years ago
• openai / large-scale-curiosity
  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
  ☆825Updated 4 years ago
• openai / multiagent-competition
  Code for the paper "Emergent Complexity via Multi-agent Competition"
  ☆824Updated 2 years ago
• google-deepmind / hanabi-learning-environment
  hanabi_learning_environment is a research platform for Hanabi experiments.
  ☆655Updated 2 years ago
• google-deepmind / ai-safety-gridworlds
  This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
  ☆614Updated 3 years ago
• openai / vime
  Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
  ☆347Updated 6 years ago
• google-deepmind / spriteworld
  Spriteworld: a flexible, configurable python-based reinforcement learning environment
  ☆373Updated 5 years ago
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆1,011Updated 6 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆638Updated 7 years ago
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆404Updated 8 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,455Updated 2 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆969Updated 6 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆360Updated 5 years ago
• openai / coinrun
  Code for the paper "Quantifying Transfer in Reinforcement Learning"
  ☆402Updated 2 years ago
• worldmodels / worldmodels.github.io
  World Models
  ☆462Updated 5 years ago
• openai / gym-soccer
  ☆303Updated 2 years ago
• modestyachts / ARS
  An implementation of the Augmented Random Search algorithm
  ☆425Updated 4 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆910Updated 5 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,118Updated 7 years ago
• openai / atari-py
  A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface
  ☆384Updated 2 years ago
• hardmaru / WorldModelsExperiments
  World Models Experiments
  ☆663Updated 3 years ago
• haarnoja / softqlearning
  Reinforcement Learning with Deep Energy-Based Policies
  ☆429Updated last year
• hardmaru / estool
  Evolution Strategies Tool
  ☆950Updated 2 years ago
• uber-research / go-explore
  Code for Go-Explore: a New Approach for Hard-Exploration Problems
  ☆575Updated 2 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆723Updated 6 years ago
• inoryy / reaver
  Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
  ☆561Updated 4 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆657Updated 5 years ago
• unixpickle / anyrl-py
  A reinforcement learning framework
  ☆157Updated 6 years ago
• openai / robosumo
  Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"
  ☆307Updated 2 years ago