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DrQ-v2: Improved Data-Augmented Reinforcement Learning
GitHub's code repository is all you need
A parallel framework for population-based multi-agent reinforcement learning.
Mastering Diverse Domains through World Models
Distributed Reinforcement Learning accelerated by Lightning Fabric
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
An extension of the PyMARL codebase that includes additional algorithms and environment support
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
An algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
corl-team / CORL
Forked from tinkoff-ai/CORLHigh-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
A simple and highly efficient RTS-game-inspired environment for reinforcement learning
🦜🔗 Build context-aware reasoning applications
High throughput synchronous and asynchronous reinforcement learning
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
DIAMBRA Arena: a New Reinforcement Learning Platform for Research and Experimentation
A high-performance distributed training framework for Reinforcement Learning
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
Modularized Implementation of Deep RL Algorithms in PyTorch
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
A Unity 2019.4 project using Unity3D as a client for gRPC/protocol buffers services
A PyTorch Platform for Distributed RL
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
List of competitions related to Reinforcement Learning