google-research / reincarnating_rl
[NeurIPS 2022] Open source code for reusing prior computational work in RL.
☆96Updated last year
Alternatives and similar repositories for reincarnating_rl:
Users that are interested in reincarnating_rl are comparing it to the libraries listed below
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆51Updated 2 years ago
- A collection of RL algorithms written in JAX.☆97Updated 2 years ago
- Baselines for gymnax 🤖☆66Updated 2 years ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆153Updated 3 weeks ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆110Updated 7 months ago
- ☆76Updated 3 weeks ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆71Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 2 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆97Updated 5 months ago
- Evaluating long-term memory of reinforcement learning algorithms☆141Updated last year
- Contains JAX implementation of algorithms for inverse reinforcement learning☆72Updated 7 months ago
- Deep Reinforcement Learning Framework done with PyTorch☆35Updated last month
- The Starcraft Multi-Agent challenge lite☆42Updated 7 months ago
- Benchmarking RL generalization in an interpretable way.☆153Updated last month
- Benchmarks for Multi-Objective Multi-Agent Decision Making☆87Updated last month
- Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.☆130Updated 7 months ago
- PAIRED in PyTorch 🔥☆58Updated 2 years ago
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆45Updated 9 months ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆111Updated 3 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆68Updated 3 years ago
- JAX implementations of core Deep RL algorithms☆79Updated 2 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆54Updated 2 years ago
- Deep Hierarchical Planning from Pixels☆95Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- DreamerV3 implementation of Curious Replay, a method for prioritizing experience replay that is tailored to model-based reinforcement lea…☆35Updated last year
- An API conversion tool for popular external reinforcement learning environments☆160Updated 3 months ago
- Vectorization techniques for fast population-based training.☆55Updated 2 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆149Updated 4 years ago
- Revisiting Rainbow☆74Updated 3 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆40Updated 2 years ago