RLE-Foundation / RLeXploreLinks
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).
☆453Updated 6 months ago
Alternatives and similar repositories for RLeXplore
Users that are interested in RLeXplore are comparing it to the libraries listed below
Sorting:
- Long-Term Evolution Project of Reinforcement Learning☆474Updated 2 months ago
- [NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCT…☆1,441Updated this week
- [AAAI2024] A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning☆284Updated last year
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆115Updated last year
- Partially Observable Process Gym☆200Updated 4 months ago
- Code to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).☆450Updated 2 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆335Updated last year
- Author's PyTorch implementation of TD7 for online and offline RL☆150Updated 2 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆192Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆135Updated last month
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆178Updated 3 years ago
- ☆45Updated 2 years ago
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆175Updated 2 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆216Updated last year
- Benchmarking RL generalization in an interpretable way.☆165Updated 4 months ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆172Updated 11 months ago
- A curated list of awesome exploration RL resources (continually updated)☆563Updated last month
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆196Updated 2 years ago
- Datasets with baselines for Offline MARL.☆181Updated last month
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆374Updated 3 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆170Updated last year
- A curated list of awesome model based RL resources (continually updated)☆1,222Updated last month
- A collection of offline reinforcement learning algorithms.☆201Updated 10 months ago
- Prioritized Experience Replay implementation with proportional prioritization☆84Updated 2 years ago
- Representation Learning for RL☆127Updated 2 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆60Updated 2 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆227Updated 4 years ago
- ☆286Updated 3 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆359Updated 2 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆181Updated 2 years ago