google-deepmind / tell_me_why_explanations_rlLinks
☆37Updated 2 years ago
Alternatives and similar repositories for tell_me_why_explanations_rl
Users that are interested in tell_me_why_explanations_rl are comparing it to the libraries listed below
Sorting:
- Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.☆135Updated last year
- ☆56Updated 11 months ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆116Updated last year
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning☆17Updated 3 years ago
- ☆57Updated 3 years ago
- ☆101Updated last year
- ☆46Updated last year
- Proto-RL: Reinforcement Learning with Prototypical Representations☆85Updated 3 years ago
- ☆28Updated 3 years ago
- ☆48Updated 2 years ago
- Sandbox environment for generalizable agent research☆25Updated 3 years ago
- [NeurIPS 2022] Open source code for reusing prior computational work in RL.☆97Updated 2 years ago
- Baselines for gymnax 🤖☆72Updated 2 years ago
- General Modules for JAX☆69Updated last month
- Official code for "Can Wikipedia Help Offline Reinforcement Learning?" by Machel Reid, Yutaro Yamada and Shixiang Shane Gu☆105Updated 3 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆108Updated 3 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆84Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- Official repo for the E3B algorithm described in the paper "Exploration via Elliptical Episodic Bonuses".☆87Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆102Updated 3 years ago
- JAX implementations of core Deep RL algorithms☆82Updated 3 years ago
- ☆32Updated last year
- ☆31Updated 3 years ago
- Docker containers of baseline agents for the Crafter environment☆29Updated 3 years ago
- ☆31Updated 4 years ago
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆12Updated 2 years ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆72Updated last year
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- Contains implementation of AdVIL, AdRIL, and DAeQuIL algorithms from the ICML '21 Paper Of Moments and Matching.☆21Updated 3 years ago