qlan3 / ExplorerLinks
Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
☆92Updated last week
Alternatives and similar repositories for Explorer
Users that are interested in Explorer are comparing it to the libraries listed below
Sorting:
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆148Updated 3 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 4 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 3 years ago
- ☆61Updated 7 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆125Updated 4 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆70Updated last year
- A list of papers regarding generalization in (deep) reinforcement learning☆151Updated last year
- Code for MOPO: Model-based Offline Policy Optimization☆179Updated 3 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- ☆131Updated 11 months ago
- ☆198Updated 2 years ago
- ☆112Updated 2 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆105Updated 3 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 3 months ago
- ☆53Updated last year
- ☆41Updated 3 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆86Updated 4 years ago
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆56Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆168Updated 7 months ago
- Learning Laplacian Representations in Reinforcement Learning☆16Updated 4 years ago
- Pytorch implementation on OpenAI's Procgen ppo-baseline, built from scratch.☆30Updated 4 years ago
- Model-Based Offline Reinforcement Learning☆50Updated 4 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆170Updated 3 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆128Updated 10 months ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆45Updated 3 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆50Updated last month
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆160Updated 3 years ago