A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning agents!
☆662Sep 6, 2019Updated 6 years ago
Alternatives and similar repositories for pycolab
Users that are interested in pycolab are comparing it to the libraries listed below
Sorting:
- This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.☆628May 18, 2022Updated 3 years ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆828Apr 2, 2023Updated 2 years ago
- A customisable 3D platform for agent-based AI research☆7,330Jan 4, 2023Updated 3 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,403Feb 19, 2026Updated last week
- Efficient Batched Reinforcement Learning in TensorFlow☆973Jan 11, 2019Updated 7 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,044Jun 10, 2023Updated 2 years ago
- ☆119Jul 9, 2020Updated 5 years ago
- Spriteworld: a flexible, configurable python-based reinforcement learning environment☆371Jun 1, 2020Updated 5 years ago
- lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.☆378Nov 19, 2022Updated 3 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,123Oct 13, 2017Updated 8 years ago
- NIPS 2017 Value Prediction Network☆167Jan 12, 2018Updated 8 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆779Dec 19, 2023Updated 2 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,019Mar 13, 2019Updated 6 years ago
- DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.☆2,168Apr 2, 2023Updated 2 years ago
- TensorFlow Reinforcement Learning☆3,134Dec 8, 2022Updated 3 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,470Dec 7, 2022Updated 3 years ago
- Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"☆309Apr 13, 2023Updated 2 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,311Jul 31, 2024Updated last year
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,529Apr 13, 2024Updated last year
- Code for the paper "Meta-Learning Shared Hierarchies"☆617Jul 6, 2023Updated 2 years ago
- A TensorFlow implementation of the Differentiable Neural Computer.☆2,525Jul 23, 2021Updated 4 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,407Apr 16, 2024Updated last year
- A customizable framework to create maze and gridworld environments☆269Apr 5, 2019Updated 6 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆186Nov 1, 2017Updated 8 years ago
- Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"☆348Nov 22, 2018Updated 7 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Sep 13, 2019Updated 6 years ago
- Reinforcement learning with unsupervised auxiliary tasks☆423Feb 13, 2019Updated 7 years ago
- Implementation of Meta-RL A3C algorithm☆407Feb 22, 2017Updated 9 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆94Apr 17, 2018Updated 7 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,875May 29, 2022Updated 3 years ago
- Learning Latent Dynamics for Planning from Pixels☆1,234Mar 24, 2023Updated 2 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆717May 12, 2024Updated last year
- The Arcade Learning Environment (ALE) -- a platform for AI research.☆2,395Dec 31, 2025Updated 2 months ago
- A Platform for Many-Agent Reinforcement Learning☆1,757Oct 22, 2022Updated 3 years ago
- An End-To-End, Lightweight and Flexible Platform for Game Research☆2,096Aug 30, 2021Updated 4 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,650Aug 1, 2024Updated last year
- Accompanying code for "Deep Reinforcement Learning that Matters"☆155Sep 22, 2017Updated 8 years ago
- Implementation of TRPO and related algorithms☆647May 20, 2018Updated 7 years ago
- Reinforcement Learning in PyTorch☆2,275Jan 4, 2021Updated 5 years ago