gabrfarina / exp-a-spielLinks
Exploitability calculation for imperfect-information game benchmarks
☆31Updated 6 months ago
Alternatives and similar repositories for exp-a-spiel
Users that are interested in exp-a-spiel are comparing it to the libraries listed below
Sorting:
- IIG-RL-Benchmark is a library for training and evaluating game theoretical or deep RL algorithms on OpenSpiel games.☆20Updated 2 months ago
- Efficient baselines for autocurricula in JAX.☆197Updated last year
- ☆83Updated 3 weeks ago
- Unified Implementations of Offline Reinforcement Learning Algorithms☆111Updated 5 months ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆112Updated 3 months ago
- Reinforcement learning on general 2D physics environments in JAX. ICLR 2025 Oral.☆213Updated this week
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆55Updated 2 years ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆184Updated 6 months ago
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!☆236Updated 4 months ago
- ⚡ Flashbax: Accelerated Replay Buffers in JAX☆252Updated 2 weeks ago
- fast + parallel AlphaZero in JAX☆102Updated 9 months ago
- Simplest and Cleanest DreamerV3 implementation out there☆94Updated 6 months ago
- ☆74Updated last year
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆115Updated last year
- An Open-Ended Agentic Simulator☆52Updated last year
- 🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL☆357Updated this week
- Contains JAX implementation of algorithms for inverse reinforcement learning☆72Updated last year
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.☆336Updated 3 months ago
- Highly scalable 2D JAX physics engine.☆60Updated 6 months ago
- Synchronized Curriculum Learning for RL Agents☆113Updated last month
- A project that provides help for using DeepMind's mctx on gym-style environments.☆62Updated 10 months ago
- Simple single file implementations of Reinforcement Learning algorithms in Julia☆22Updated 7 months ago
- Benchmarks for Multi-Objective Multi-Agent Decision Making☆106Updated 2 weeks ago
- ☆84Updated 11 months ago
- Classic MCTS example with mctx☆22Updated 2 years ago
- Clean single-file implementation of offline RL algorithms in JAX☆156Updated 9 months ago
- Accelerated minigrid environments with JAX☆149Updated last month
- Drop-in environment replacements that make your RL algorithm train faster.☆21Updated last year
- A collection of matrix games in JAX☆12Updated 10 months ago
- Multi-Agent Reinforcement Learning with JAX☆643Updated 3 months ago