EzgiKorkmaz / adversarial-reinforcement-learningLinks
Reading list for adversarial perspective and robustness in deep reinforcement learning.
☆125Updated 2 months ago
Alternatives and similar repositories for adversarial-reinforcement-learning
Users that are interested in adversarial-reinforcement-learning are comparing it to the libraries listed below
Sorting:
- Explainable Reinforcement Learning (XRL) Resources☆43Updated last year
- Benchmarks for Multi-Objective Multi-Agent Decision Making☆108Updated this week
- ☆74Updated last year
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆55Updated 2 years ago
- Code exercises for the MARL Textbook☆39Updated 3 months ago
- Efficient baselines for autocurricula in JAX.☆196Updated last year
- Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments☆288Updated 6 months ago
- Lecture slides for the MARL book (www.marl-book.com)☆128Updated 4 months ago
- Mini RL Lab☆17Updated last year
- Deep reinforcement learning without experience replay, target networks, or batch updates.☆266Updated 6 months ago
- A Torch Based RL Framework for Rapid Prototyping of Research Papers☆70Updated 2 months ago
- Synchronized Curriculum Learning for RL Agents☆113Updated last month
- Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and obser…☆73Updated last year
- Experimentation with Regularized Nash Dynamics on a GPU accelerated game☆47Updated 2 years ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆112Updated 3 months ago
- Simplest and Cleanest DreamerV3 implementation out there☆94Updated 6 months ago
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆83Updated last week
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆191Updated last year
- ReinforceUI-Studio. A Python-based application designed to simplify the configuration and monitoring of RL training processes. Supporting…☆73Updated 3 months ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆103Updated 11 months ago
- Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind☆399Updated 3 months ago
- Contains implementation of the FILTER algorithm for exponentially faster inverse reinforcement learning.☆51Updated 2 years ago
- IIG-RL-Benchmark is a library for training and evaluating game theoretical or deep RL algorithms on OpenSpiel games.☆20Updated 2 months ago
- Implementation of Soft Actor Critic and some of its improvements in Pytorch☆60Updated 7 months ago
- ☆237Updated 10 months ago
- Exploitability calculation for imperfect-information game benchmarks☆31Updated 6 months ago
- A toolkit for auto-generation of OpenAI Gym environments from RDDL description files.☆85Updated 2 weeks ago
- List of companies/universities lab that might offers Internships in the Reinforcement Learning field☆36Updated last year
- Benchmarking RL generalization in an interpretable way.☆165Updated 3 months ago
- A gym environment for a miniature racecar using the pybullet physics engine.☆205Updated 2 years ago