A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
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High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
- wandb
- reinforcement-learning
- pytorch
- python
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
- ai
- deep-reinforcement-learning
- wpa-psk
- handshakes
This is an AI agent for Street Fighter II Champion Edition.
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
- reinforcement-learning-algorithms
- reinforcement-learning
- machine-learning
- gym
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
- pytorch
- reinforcement-learning
- deep-learning
- deep-reinforcement-learning
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
- reinforcement-learning
- multiagent-reinforcement-learning
- self-play
- imitation-learning
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
- api
- gymnasium
- multi-agent-reinforcement-learning
- reinforcement-learning
Manipulation Skill Framework, an open source GPU parallelized robotics simulator and benchmark
- reinforcement-learning
- robotics
- robot-manipulation
- embodied-ai
Modularized Implementation of Deep RL Algorithms in PyTorch
- pytorch
- deep-reinforcement-learning
- dqn
- dueling-network-architecture
Collection of reinforcement learning algorithms
Simple and easily configurable grid world environments for reinforcement learning
- gridworld-environment
- gymnasium
- gymnasium-environment
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
- pytorch-implmention
- pytorch
- pytorch-tutorial
- proximal-policy-optimization
A platform for reproducible world model research and evaluation
- deep-learning
- pytorch
- jepa
- world-model
Building Open-Ended Embodied Agents with Internet-Scale Knowledge
[RSS 2025] "ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills"
- humanoid
- reinforcement-learning
- robotics
A toolkit for reproducible reinforcement learning research.
- rl-algorithms
- reproducibility
- pytorch
- tensorflow
An AI agent that beats the classic game "Snake".
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
- datasets
- gymnasium
- offline-rl
- reinforcement-learning
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
- alpha-beta-pruning
- alphazero
- atari
- board-games
The repository host gives no description.
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
- reinforcement-learning
- parallel-processing
- cpp17
- pybind11
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
A brain that learns from live experience. System 1 by default: perception, memory, plasticity and action. Optional System 2 for self-observation and slow corrections.
- machine-learning
- embodied-ai
- online-learning
- python