vwxyzjn / gym-microrts-paper
The source code for the gym-microrts paper.
☆42Updated 2 years ago
Alternatives and similar repositories for gym-microrts-paper:
Users that are interested in gym-microrts-paper are comparing it to the libraries listed below
- Deep reinforcement learning implementation that trains AIs for the CodeCraft real-time strategy game.☆20Updated last year
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆109Updated 5 months ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆102Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago
- Baselines for gymnax 🤖☆63Updated last year
- Vectorization techniques for fast population-based training.☆55Updated 2 years ago
- Tabular methods for reinforcement learning☆36Updated 4 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆53Updated 2 years ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆48Updated 2 years ago
- [NeurIPS 2022] Open source code for reusing prior computational work in RL.☆93Updated last year
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆68Updated last year
- Deep Reinforcement Learning Framework done with PyTorch☆32Updated this week
- Hierarchical Self-Play☆21Updated 6 years ago
- ☆73Updated 8 months ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- A collection of RL algorithms written in JAX.☆95Updated 2 years ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆109Updated last year
- Challenging Memory-based Deep Reinforcement Learning Agents☆93Updated 3 months ago
- Series of deep reinforcement learning algorithms 🤖☆29Updated 3 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 4 years ago
- Novelty MiniGrid--NovGrid--is an extension of MiniGrid environment that allows for the world properties and dynamics to change according …☆35Updated 9 months ago
- MultiTask Environments for Reinforcement Learning.☆74Updated 2 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆136Updated last year
- Implementation of the Off Belief Learning algorithm.☆45Updated 2 years ago
- Multi-Agent RL Environment for the Stratego Board Game (and variants)☆32Updated last year
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆46Updated 6 years ago
- Pytorch implementation on OpenAI's Procgen ppo-baseline, built from scratch.☆31Updated 4 years ago
- impact-driven-exploration☆130Updated last year
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆38Updated 2 years ago