theOGognf / rl8Links
A high throughput, end-to-end RL library for infinite-horizon tasks.
☆23Updated 3 months ago
Alternatives and similar repositories for rl8
Users that are interested in rl8 are comparing it to the libraries listed below
Sorting:
- Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and obser…☆75Updated last month
- Various reinforcement learning algorithms written in Jax + Flax☆26Updated 2 years ago
- Mini RL Lab☆17Updated last year
- Benchmarks for Multi-Objective Multi-Agent Decision Making☆117Updated 4 months ago
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆62Updated last month
- fast + parallel AlphaZero in JAX☆109Updated last year
- A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environm…☆43Updated 3 years ago
- A project that provides help for using DeepMind's mctx on gym-style environments.☆64Updated last year
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆90Updated 2 years ago
- Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observ…☆35Updated 7 months ago
- Deep Reinforcement Learning Framework done with PyTorch☆43Updated 10 months ago
- Baselines for gymnax 🤖☆74Updated 2 years ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆112Updated 2 years ago
- Official repo for our AAAI'21 paper, https://arxiv.org/abs/2007.12354☆27Updated 4 years ago
- Explainable Reinforcement Learning (XRL) Resources☆47Updated last year
- GBRL-based Actor-Critic algorithms implemented in stable-baselines3☆43Updated last week
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆121Updated last year
- Drop-in environment replacements that make your RL algorithm train faster.☆21Updated last year
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆12Updated 2 years ago
- Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments☆296Updated 10 months ago
- A python library for eXplainable Reinforcement Learning (XRL) based on the concept of interestingness elements.☆21Updated 4 years ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆56Updated 3 years ago
- Experimentation with Regularized Nash Dynamics on a GPU accelerated game☆50Updated 2 years ago
- Reinforcement learning training framework for entity-gym environments.☆17Updated last year
- Challenging Memory-based Deep Reinforcement Learning Agents☆109Updated last year
- Contains JAX implementation of algorithms for inverse reinforcement learning☆74Updated last year
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆122Updated last year
- JAX implementation of RL algorithms and vectorized environments☆51Updated 2 years ago
- Adaptable tools to make reinforcement learning and evolutionary computation algorithms.☆56Updated 3 years ago
- ☆53Updated 2 years ago