mimoralea / gfootball-rllib-introLinks
☆17Updated 4 years ago
Alternatives and similar repositories for gfootball-rllib-intro
Users that are interested in gfootball-rllib-intro are comparing it to the libraries listed below
Sorting:
- ☆18Updated last year
- Semi-Markov Afterstate Actor-Critic (SMAAC) with Maze☆10Updated 3 years ago
- Supplementary Data for Evolving Reinforcement Learning Algorithms☆46Updated 4 years ago
- Automatically generate simple meta-learning tasks from a very large space☆15Updated last year
- A web based platform for collecting human actions in reinforcement learning environments☆30Updated last year
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆10Updated last year
- Repo to reproduce the First-Explore paper results☆37Updated 5 months ago
- Gym wrapper for pysc2☆10Updated 2 years ago
- A2C is a special case of PPO!☆21Updated 3 years ago
- Generative cellular automaton-like learning environments for RL.☆19Updated 4 months ago
- Reinforcement learning training framework for entity-gym environments.☆17Updated last year
- Understanding RL vision Distill article☆23Updated 2 years ago
- Standard interface for entity based reinforcement learning environments.☆37Updated last year
- ☆44Updated 8 months ago
- Generalised UDRL☆37Updated 3 years ago
- DreamerV3 implementation of Curious Replay, a method for prioritizing experience replay that is tailored to model-based reinforcement lea…☆36Updated last year
- ☆13Updated 10 months ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆21Updated 3 years ago
- Tabular methods for reinforcement learning☆38Updated 4 years ago
- Scalable Opponent Shaping Experiments in JAX☆24Updated last year
- The source code for the gym-microrts paper.☆42Updated 2 years ago
- ☆28Updated 2 years ago
- Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.☆21Updated 4 years ago
- A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…☆21Updated 4 years ago
- Vectorization techniques for fast population-based training.☆56Updated 2 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆20Updated 2 years ago
- Drop-in environment replacements that make your RL algorithm train faster.☆20Updated 11 months ago
- AGAC: Adversarially Guided Actor-Critic☆49Updated 3 years ago
- We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.☆21Updated 2 years ago
- Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Des…☆28Updated 11 months ago