0xprofessooor / PearlLinks
Adaptable tools to make reinforcement learning and evolutionary computation algorithms.
☆56Updated 3 years ago
Alternatives and similar repositories for Pearl
Users that are interested in Pearl are comparing it to the libraries listed below
Sorting:
- Partially Observable Process Gym☆199Updated 3 months ago
- Benchmarks for Multi-Objective Multi-Agent Decision Making☆103Updated 3 weeks ago
- Benchmarking RL generalization in an interpretable way.☆161Updated 3 months ago
- Baselines for gymnax 🤖☆71Updated 2 years ago
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆83Updated last year
- Multi-objective Gymnasium environments for reinforcement learning☆342Updated 2 months ago
- An API conversion tool for popular external reinforcement learning environments☆188Updated last week
- [NeurIPS 2022] Open source code for reusing prior computational work in RL.☆97Updated 2 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆103Updated 10 months ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆137Updated 10 months ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆55Updated 2 years ago
- A collection of RL algorithms written in JAX.☆104Updated 3 years ago
- ☆74Updated last year
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆76Updated last year
- Contains JAX implementation of algorithms for inverse reinforcement learning☆72Updated last year
- Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)☆76Updated 2 years ago
- Accelerated Quality-Diversity☆319Updated 3 months ago
- Modular framework for Reinforcement Learning in python☆176Updated 2 years ago
- Datasets with baselines for Offline MARL.☆178Updated 3 weeks ago
- ☆237Updated 10 months ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 2 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆146Updated 3 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆182Updated 6 months ago
- PyTorch implementation of DreamerV2 model-based RL algorithm☆227Updated 2 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆114Updated last year
- Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)☆122Updated last year
- Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite☆43Updated 2 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆104Updated 3 years ago