google-deepmind / pycolabLinks
A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning agents!
☆661Updated 5 years ago
Alternatives and similar repositories for pycolab
Users that are interested in pycolab are comparing it to the libraries listed below
Sorting:
- Code for the paper "Meta-Learning Shared Hierarchies"☆615Updated last year
- This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.☆612Updated 3 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,003Updated 6 years ago
- Spriteworld: a flexible, configurable python-based reinforcement learning environment☆370Updated 4 years ago
- Implementation of TRPO and related algorithms☆631Updated 7 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆770Updated last year
- Implementation of Meta-RL A3C algorithm☆403Updated 8 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,436Updated 2 years ago
- Code for the paper "Exploration by Random Network Distillation"☆898Updated 4 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,109Updated 7 years ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆813Updated 2 years ago
- Code for the paper "Quantifying Transfer in Reinforcement Learning"☆397Updated last year
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆815Updated 3 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆968Updated 6 years ago
- Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"☆306Updated 2 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆425Updated last year
- A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface☆382Updated 2 years ago
- hanabi_learning_environment is a research platform for Hanabi experiments.☆651Updated 2 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆712Updated 6 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆361Updated 4 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆657Updated 5 years ago
- Lua/Torch implementation of DQN (Nature, 2015)☆600Updated 8 years ago
- Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"☆343Updated 6 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆202Updated 5 years ago
- Velocity in deep-learning research☆276Updated 2 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning☆436Updated 6 years ago
- A reinforcement learning framework☆155Updated 6 years ago
- Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"☆320Updated 3 years ago
- Code for the paper "Evolved Policy Gradients"☆250Updated 6 years ago
- World Models Experiments☆645Updated 2 years ago