maciej-sypetkowski / autoascend
The first place solution for the NeurIPS 2021 Nethack Challenge -- https://www.aicrowd.com/challenges/neurips-2021-the-nethack-challenge
☆59Updated 2 years ago
Alternatives and similar repositories for autoascend:
Users that are interested in autoascend are comparing it to the libraries listed below
- General Modules for JAX☆62Updated 6 months ago
- The NetHack Learning Environment☆58Updated 2 months ago
- Standard interface for entity based reinforcement learning environments.☆36Updated 11 months ago
- JAX implementations of core Deep RL algorithms☆79Updated 2 years ago
- An Open-Ended Agentic Simulator☆36Updated 5 months ago
- PAIRED in PyTorch 🔥☆57Updated last year
- Baselines for gymnax 🤖☆61Updated last year
- Evaluating long-term memory of reinforcement learning algorithms☆138Updated last year
- An implementation of MuZero in JAX.☆54Updated 2 years ago
- Novelty MiniGrid--NovGrid--is an extension of MiniGrid environment that allows for the world properties and dynamics to change according …☆35Updated 8 months ago
- Nethack Learning Environment Wrapper for Language Interface☆35Updated last year
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆53Updated 2 years ago
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.☆230Updated last week
- ☆100Updated 11 months ago
- A collection of RL algorithms written in JAX.☆95Updated 2 years ago
- Code for magnetic mirror descent.☆15Updated last year
- ☆49Updated last year
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆67Updated last year
- Synchronized Curriculum Learning for RL Agents☆32Updated this week
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆109Updated 5 months ago
- Benchmark environments for reward modelling and imitation learning algorithms.☆45Updated last year
- A JAX Implementation of the Twin Delayed DDPG Algorithm☆32Updated 4 years ago
- Vectorization techniques for fast population-based training.☆55Updated 2 years ago
- A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environm…☆39Updated 2 years ago
- ☆67Updated 5 months ago
- An environment for benchmarking commonsense agents☆28Updated 4 years ago
- Collection of in-progress libraries for entity neural networks.☆29Updated 2 years ago
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆42Updated 7 months ago
- Modular framework for Reinforcement Learning in python☆170Updated last year
- impact-driven-exploration☆130Updated last year