floringogianu / atari-agents
Code and links for over 25,000 trained Atari agents
☆94Updated 4 months ago
Alternatives and similar repositories for atari-agents:
Users that are interested in atari-agents are comparing it to the libraries listed below
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆108Updated 4 months ago
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.☆227Updated 3 months ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆138Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆102Updated 2 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆53Updated 2 years ago
- General Modules for JAX☆62Updated 5 months ago
- impact-driven-exploration☆130Updated last year
- ☆209Updated last month
- Simple single-file baselines for Q-Learning in pure-GPU setting☆133Updated last month
- Baselines for gymnax 🤖☆61Updated last year
- A tool for aggregating and plotting MARL experiment data.☆68Updated this week
- ExORL: Exploratory Data for Offline Reinforcement Learning☆106Updated 2 years ago
- Benchmarking RL generalization in an interpretable way.☆138Updated 11 months ago
- ☆71Updated 2 months ago
- PAIRED in PyTorch 🔥☆57Updated last year
- ☆293Updated 3 weeks ago
- An implementation of MuZero in JAX.☆54Updated 2 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆157Updated 3 years ago
- Pytorch implementation of DreamerV2: MASTERING ATARI WITH DISCRETE WORLD MODELS☆50Updated 2 years ago
- A collection of RL algorithms written in JAX.☆95Updated 2 years ago
- JAX implementations of core Deep RL algorithms☆79Updated 2 years ago
- Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)☆110Updated 4 months ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆67Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated last year
- Nethack Learning Environment Wrapper for Language Interface☆35Updated last year
- ☆41Updated last year
- Object Centric Atari games☆62Updated this week
- Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.☆128Updated 4 months ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆108Updated last year