vincentkslim / cs285_homework_fall2020Links
CS285 Homework
☆28Updated 5 years ago
Alternatives and similar repositories for cs285_homework_fall2020
Users that are interested in cs285_homework_fall2020 are comparing it to the libraries listed below
Sorting:
- RLA is a tool for managing your RL experiments automatically☆72Updated 2 years ago
- Pytorch solutions for UC Berkeley's cs285 assignments☆151Updated 3 years ago
- Paper Collection for Batch RL with brief introductions.☆84Updated 3 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆79Updated 3 years ago
- Re-implementations of SOTA RL algorithms.☆136Updated 2 years ago
- A collection of offline reinforcement learning algorithms.☆208Updated last year
- ☆307Updated 3 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆133Updated 4 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆191Updated 3 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆146Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆183Updated 3 years ago
- Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets☆130Updated last year
- A collection of research and survey papers of hierarchical reinforcement learning (HRL).☆52Updated 5 years ago
- ☆134Updated last year
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)☆145Updated 3 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆94Updated 2 years ago
- A list of papers regarding generalization in (deep) reinforcement learning☆153Updated 2 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆342Updated last year
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated 2 years ago
- Conservative Q Learning on top of SAC☆136Updated 3 years ago
- ☆202Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆141Updated last year
- Code for conservative Q-learning☆468Updated 4 years ago
- Offline Reinforcement Learning Reading Group☆28Updated 3 years ago
- The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)☆24Updated 2 years ago
- ☆116Updated 2 years ago
- Representation Learning for RL☆130Updated 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
- ☆315Updated 3 years ago
- Model-Based Offline Reinforcement Learning☆52Updated 5 years ago