v0.0.3

Env

1. MiniGrid env (#110)
2. Bsuite env (#110)
3. GoBigger env (#39)

Algorithm

1. Sampled AlphaZero (#141)
2. MuZero+RND (#110)
3. Multi-Agent MuZero/EfficientZero (#39)

Enhancement

1. add ctree version of mcts in alphazero (#142)
2. upgrade the dependency on gym with gymnasium (#150)
3. add agent class to support LightZero's HuggingFace Model Zoo (#163)
4. add recent MCTS-related papers in readme (#159)
5. add muzero config for connect4 (#107)
6. add CONTRIBUTING.md (#119)
7. add .gitpod.yml and .gitpod.Dockerfile (#123)
8. add contributors subsection in README (#132)
9. add CODE_OF_CONDUCT.md (#127)
10. polish comments and render_eval configs for various common envs (#154) (#161)
11. polish action_type and env_type, fix test.yml, fix unittest (#160)
12. update env and algo tutorial doc (#106)
13. polish gomoku env (#141)
14. add random_policy support for continuous env (#118)
15. polish simulation method of ptree_az (#120)
16. polish comments of game_segment_to_array

Fix

1. fix render method for various common envs (#154) (#161)
2. fix gumbel muzero collector bug, fix gumbel typo (#144)
3. fix assert bug in game_segment.py (#138)
4. fix visit_count_distributions name in muzero_evaluator
5. fix mcts and alphabeta bot unittest (#120)
6. fix typos in ptree_mz.py (#113)
7. fix root_sampled_actions_tmp shape bug in sez ptree
8. fix policy utils unittest
9. fix typo in readme and add a 'back to top' button in readme (#104) (#109) (#111)

Style

1. add NeurIPS 2023 paper link

News

1. NeurIPS 2023 Spotlight: LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios

Full Changelog: v0.0.2...v0.0.3

Contributors: @PaParaZz1 @karroyan @nighood @jayyoung0802 @timothijoe @TuTuHuss @HarryXuancy @puyuan1996 @HansBug @mohitd404 @@PentesterPriyanshu @0Armaan025 @prajjwalyd @suravshresth @sohamtembhurne @eltociear